International Journal of Electronics and Telecommunications
High definition video transmission is one of the prime demands of modern day communication. Chang... more High definition video transmission is one of the prime demands of modern day communication. Changing needs demand diverse features to be offered by the video codec standards, H.264 fits to these requirements for video compression. In this work, an attempt has been made to optimize the inter prediction along with improved intra prediction to ensure the minimal bit rates thereby reduction in the channel bandwidth, which is required in most of the wireless applications. In intraprediction, only DC prediction mode is chosen out of 9 modes with 4*4 luma blocks that reduces the coding complexity towards optimal logic utilization in order to support typical FPGA board for hardware implementation. Most significantly, Inter prediction is carried out utilizing the M9K blocks efficiently with proper timing synchronization to reduce the latency in the encoding operation. Experimental set up comprising of two Altera DE2-115 boards connected through Ethernet cable demonstrated the video transmission. These optimized intra prediction and inter prediction stages resulted in significant improvement in the video compression possessing good subjective quality and increased video compression
Wavelet transform has played an important role in Image processing task such as compression and r... more Wavelet transform has played an important role in Image processing task such as compression and restoration. Unlike most of existing denoising algorithms, using the curvelet makes it needless to hypothesize a statistical model for the noiseless image. This wavelet transform fails to represent the images, which has edges and treated them as smooth functions with discontinuity along curves. The curvelet transforms, where frame elements are indexed by scale, location and orientation parameters. This curvelet transform is designed to represent edges and other singularities along the curves which are more efficient than the traditional wavelet transform. Moreover, the curvelet transform and Gaussian filter are used for an effective image denoising system. This process will be based on the block-based noise estimation technique, in which an input image will be contaminated by the additive white Gaussian noise and filtering process to be performed by an adaptive Gaussian filter and curvele...
2010 Second International Conference on Communication Software and Networks, 2010
Abstract In recent days the advancement in the wireless communication is with that of wireless ... more Abstract In recent days the advancement in the wireless communication is with that of wireless sensor networks. In Wireless Sensor Networks (WSNs) the data are collected from many sensor nodes by the base station which is the goal of the network. In this type of WSNs, the major ...
2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2021
In this day and age, passenger vehicles are heavily depended on, not only for day-to-day activiti... more In this day and age, passenger vehicles are heavily depended on, not only for day-to-day activities but also for leisure facilities. Therefore, safety is an indispensable factor in the Automotive Industry. A vehicle produces toxic gases like carbon monoxide, hydrocarbons, chlorine, bromine, lead, VOCs (Volatile organic compounds), and nitrous oxide and, in certain situations, get trapped inside the vehicle. This paper designs a device that detects toxic gases inside a vehicle and promptly takes precautionary action by sliding down the window automatically and turning the AC on. An electronic nose is used to detect sundry environmental contaminants like nitrous oxide, carbon monoxide, and hydrocarbons. It essentially consists of an information processing unit, digital pattern recognition algorithms, and an electronic sensor array. The results suggest that our newly proposed systemnot only sends an alert via message when toxic gas is detected but also takes necessary action to bring d...
2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]
The paper presents MRI brain diagnosis support system for structure segmentation and its analysis... more The paper presents MRI brain diagnosis support system for structure segmentation and its analysis using kernel weighted segmentation. The Proposed method has been used to segment normal tissues and abnormal tissue like tumor part of MR image automatically. MR images are often corrupted by Intensity in homogeneity and artifacts. This may affect the performance of image processing techniques used for brain image analysis. Due to this type of artifacts and noises unknowingly some normal tissue in MRI may be misclassified as other type of normal tissue and it leads to error during diagnosis process. The proposed system remove noise from the given images using a method called spectral subtraction de noising (SSD) and Kernel Weighted Fuzzy C Means (KWFCM) has been used for segmentation. This method incorporates spatial information and the membership weighting of every cluster has been altered after the cluster distribution in the neighborhood is considered. The paper results will be presented as segmented tissues with various parameter evaluations to show algorithm efficiency.
The developments of micro and nano sensors lead the sensor networking technology to be used in al... more The developments of micro and nano sensors lead the sensor networking technology to be used in all kinds of study. In underwater communications and study, wireless sensor network plays a major role. One among the characteristics of underwater communications is propagation delay that affects the network throughput. To increase the throughput, here we propose the local update routing. In this technique the end to end delay is minimized by using hierarchical WPANs. This is proved with reduced latency using Omnet++ simulator.
Abstract—This paper develops a user-controlled low power home surveillance system with the help o... more Abstract—This paper develops a user-controlled low power home surveillance system with the help of low power sensor groups. The system helps to avoid unnecessary wastage of power and shortcomings of memory conditions. It consists of two sensor groups; alert sensor group which is placed outdoor near doors and windows and detection sensor group which is placed indoor. The alert sensor group senses when an intruder passes through and wakes up the MCU in sleep mode. This activated MCU provides power supply for detection sensor group. When the detection sensor group detects the presence of intruder, the signals will be given to the MCU. It will turn on the web camera to capture images and upload them by means of web server through Internet. Only user can control the entire surveillance system by establishing a call through GSM. In addition to it, this system helps to monitor the household activities in real time from anywhere. Keywords—Home Embedded surveillance, Low-power
In this paper, we describe about the performance of different mobility models on MMS Routing. MMS... more In this paper, we describe about the performance of different mobility models on MMS Routing. MMS routing is the technique used for large wireless sensor networks where MMS indicates multiple mobile sinks. The mobility of sink is considered in random manner in the basic MMS routing. Here we show the effect of different mobility models in the sink‟s mobility. From the observations what we got from simulations we decide that wind mobility will be more energy efficient and it is good to be selected for wireless sensor network.
2016 Online International Conference on Green Engineering and Technologies (IC-GET)
Color constancy is a concept used in various computer vision applications, such as image segmenta... more Color constancy is a concept used in various computer vision applications, such as image segmentation, object recognition, scene classification, and image forensics. This work speaks about designing an adaptive color constancy algorithm which identifies the regions of skin found in faces. Illumination level is estimated by training and is corrected using proposed algorithm with different source of illumination, thus proving the variation in skin color pixels under different illumination conditions. This algorithm is implemented on images captured using webcam under different illuminations. It is helpful to estimate the illumination and correct the same with respect to the reference image under natural light.
In day to day life, still the majority of the household having an extremely hectic schedule for c... more In day to day life, still the majority of the household having an extremely hectic schedule for cooking. The time taken to cook food in kitchen is very huge, which formulate them exhausted. Currently the technology has grown and automation process was introduced to society for human welfare. The proposed model of a new automatic cooking machine which is fully automated totally based on Arduino Mega. The fundamental inspiration behind this is to create a modernization in kitchen. Such innovation in kitchen will help reducing human efforts which is extraordinarily favorable to every person. This machine having following functions: pumping raw ingredients into pan, stirring then cooking. Also this machine maintains the quality with quantity of cooking food. The main aim of this model is to create the cooking very simple, trouble-free and a lesser amount of time consuming.
The developments of micro and nano sensors lead the sensor networking technology to be used in al... more The developments of micro and nano sensors lead the sensor networking technology to be used in all kinds of study. In underwater communications and study, wireless sensor network plays a major role. One among the characteristics of underwater communications is propagation delay that affects the network throughput. To increase the throughput, here we propose the local update routing. In this technique the end to end delay is minimized by using hierarchical WPANs. This is proved with reduced latency using Omnet++ simulator.
2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017
Signal fusion is the process of combining two or more signals into a single signal. The resulting... more Signal fusion is the process of combining two or more signals into a single signal. The resulting signal takes less time for transmission than sending the signals individually. Hence signal fusion can be used with medical videos in case of dealing with emergencies. This paper aims to demonstrate the application of basic transform domain methods in medical video fusion of ECG and EEG. PSNR and MSE parameters are used for measuring the fusion effect. The effectiveness of the fusion scheme is finally based on Hybrid transform.
This paper surveys about the brief description of headache and its types and various methodologie... more This paper surveys about the brief description of headache and its types and various methodologies used for the headache measurement. The measurement process is associated with either Electromyography (EMG) or Electroencephalography (EEG) or Active Release Technique or 133Xe Inhalation Technique. These techniques are studied to observe headache abnormalities in the human beings. These techniques are used differently for evaluating and recording the electrical pulses arise in the head. When brain veins are electrically or neurologically activated then the signal is analysed to detect headache abnormalities.
Set routing is one of the methods used for maximum data collection in mobile wireless sensor netw... more Set routing is one of the methods used for maximum data collection in mobile wireless sensor networks. In this routing the entire network is divided into many sets. Route maintenance is the major problem with any routing algorithm in mobile wireless sensor networks. Because of mobility and node failures the routes keeps on changing. The problem with the route maintenance in set routing can be overcome by using fuzzy sets. This fuzzy set provides the quality of the old route as well as the necessity for the new route. This is given along with the routing table and is written on the sink node or base station. This reduces the individual node overhead. Simulation is performed with OMNET++ simulator. Result shows the effectiveness of the fuzzy set in route maintenance and new route determination.
The complication of blood pressure and diabetes can affect various parts of the body. Diabetes an... more The complication of blood pressure and diabetes can affect various parts of the body. Diabetes and hig h blood pressure are major causes of blindness in the world . Due to high blood pressure and blockage in the bl ood flow causes swelling in ocular fundus which may leads to the formation of exudates. To diagnose the swellin g in the retinal blood vessels and extract the features vari ous methods are already proposed which are not clea r. This paper proposes an efficient extraction of blood vessels a nd segmentation of exudates. In the proposed techni que, the retinal image is initially super-resoluted and then the green plane is separated for accurate vessel e xtraction. Morphology operators using multi structure elements are applied to the enhanced image in order to find the retinal image ridges and reconstruction is performed to eli minate the ridges that are not belonging to the ves sel tree while thin vessels remain unchanged. Segmentation using f uzzy clustering technique is p...
In this paper, MMS (Multiple Mobile Sinks) routing algorithm which handles the sink node mobility... more In this paper, MMS (Multiple Mobile Sinks) routing algorithm which handles the sink node mobility is proposed in order to handle the overhead mobility, with maximum lifetime and energy efficiency, reduced end to end delay amidst topology changes for assured security for monitoring campus and environment control applications. In this MMS routing, multiple mobile sinks are used to collect the data from the wireless sensor network which is deployed around entire campus like university. The mobility of sinks makes the transmission of data from source node to sink node easier by reducing the number of intermediate router nodes. For each mobile sink, a particular region like department block is allotted and the performance of MMS routing with respect to region of interest and the total area of interest are studied. The impact of different mobility models are analyzed with MMS routing and found that the wind mobility model provides better performance. To enhance the performance of MMS rout...
Wavelet transform has played an important role in Image processing task such as compression and r... more Wavelet transform has played an important role in Image processing task such as compression and restoration. Unlike most of existing denoising algorithms, using the curvelet makes it needless to hypothesize a statistical model for the noiseless image. This wavelet transform fails to represent the images, which has edges and treated them as smooth functions with discontinuity along curves. The curvelet transforms, where frame elements are indexed by scale, location and orientation parameters. This curvelet transform is designed to represent edges and other singularities along the curves which are more efficient than the traditional wavelet transform. Moreover, the curvelet transform and Gaussian filter are used for an effective image denoising system. This process will be based on the block-based noise estimation technique, in which an input image will be contaminated by the additive white Gaussian noise and filtering process to be performed by an adaptive Gaussian filter and curvele...
Color constancy is a concept used in various computer vision applications, such as image segmenta... more Color constancy is a concept used in various computer vision applications, such as image segmentation, object recognition, scene classification, and image forensics. This work speaks about designing an adaptive color constancy algorithm which identifies the regions of skin found in faces. Illumination level is estimated by training and is corrected using proposed algorithm with different source of illumination, thus proving the variation in skin color pixels under different illumination conditions. This algorithm is implemented on images captured using webcam under different illuminations. It is helpful to estimate the illumination and correct the same with respect to the reference image under natural light.
The development of Digital Image Correlation (DIC) have created a popular, attractive factor for ... more The development of Digital Image Correlation (DIC) have created a popular, attractive factor for full-field displacement and measuring strain. Inspite of its improvement, it is sufficiently used as a post-processing factor because of its computational cost and accuracy. In recent years, many researchers proposed new algorithms to improve the accuracy and speed using DIC. The objective of this work focus on subset image size and selection of seed points using image registration process along with average gradient of corner feature. With the help of image correlation method in strain measurement is executed from its first step of setting reference image, deformed images with different loads, matching the sub pixel location, selection of seed point to obtain strain field on surface under this research. The procedure of DIC method in utilizing open source platform Ncorr. Finally, the experimental output validation is evaluated from strain measurement and the result compared with strain ...
International Journal of Electronics and Telecommunications
High definition video transmission is one of the prime demands of modern day communication. Chang... more High definition video transmission is one of the prime demands of modern day communication. Changing needs demand diverse features to be offered by the video codec standards, H.264 fits to these requirements for video compression. In this work, an attempt has been made to optimize the inter prediction along with improved intra prediction to ensure the minimal bit rates thereby reduction in the channel bandwidth, which is required in most of the wireless applications. In intraprediction, only DC prediction mode is chosen out of 9 modes with 4*4 luma blocks that reduces the coding complexity towards optimal logic utilization in order to support typical FPGA board for hardware implementation. Most significantly, Inter prediction is carried out utilizing the M9K blocks efficiently with proper timing synchronization to reduce the latency in the encoding operation. Experimental set up comprising of two Altera DE2-115 boards connected through Ethernet cable demonstrated the video transmission. These optimized intra prediction and inter prediction stages resulted in significant improvement in the video compression possessing good subjective quality and increased video compression
Wavelet transform has played an important role in Image processing task such as compression and r... more Wavelet transform has played an important role in Image processing task such as compression and restoration. Unlike most of existing denoising algorithms, using the curvelet makes it needless to hypothesize a statistical model for the noiseless image. This wavelet transform fails to represent the images, which has edges and treated them as smooth functions with discontinuity along curves. The curvelet transforms, where frame elements are indexed by scale, location and orientation parameters. This curvelet transform is designed to represent edges and other singularities along the curves which are more efficient than the traditional wavelet transform. Moreover, the curvelet transform and Gaussian filter are used for an effective image denoising system. This process will be based on the block-based noise estimation technique, in which an input image will be contaminated by the additive white Gaussian noise and filtering process to be performed by an adaptive Gaussian filter and curvele...
2010 Second International Conference on Communication Software and Networks, 2010
Abstract In recent days the advancement in the wireless communication is with that of wireless ... more Abstract In recent days the advancement in the wireless communication is with that of wireless sensor networks. In Wireless Sensor Networks (WSNs) the data are collected from many sensor nodes by the base station which is the goal of the network. In this type of WSNs, the major ...
2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA), 2021
In this day and age, passenger vehicles are heavily depended on, not only for day-to-day activiti... more In this day and age, passenger vehicles are heavily depended on, not only for day-to-day activities but also for leisure facilities. Therefore, safety is an indispensable factor in the Automotive Industry. A vehicle produces toxic gases like carbon monoxide, hydrocarbons, chlorine, bromine, lead, VOCs (Volatile organic compounds), and nitrous oxide and, in certain situations, get trapped inside the vehicle. This paper designs a device that detects toxic gases inside a vehicle and promptly takes precautionary action by sliding down the window automatically and turning the AC on. An electronic nose is used to detect sundry environmental contaminants like nitrous oxide, carbon monoxide, and hydrocarbons. It essentially consists of an information processing unit, digital pattern recognition algorithms, and an electronic sensor array. The results suggest that our newly proposed systemnot only sends an alert via message when toxic gas is detected but also takes necessary action to bring d...
2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]
The paper presents MRI brain diagnosis support system for structure segmentation and its analysis... more The paper presents MRI brain diagnosis support system for structure segmentation and its analysis using kernel weighted segmentation. The Proposed method has been used to segment normal tissues and abnormal tissue like tumor part of MR image automatically. MR images are often corrupted by Intensity in homogeneity and artifacts. This may affect the performance of image processing techniques used for brain image analysis. Due to this type of artifacts and noises unknowingly some normal tissue in MRI may be misclassified as other type of normal tissue and it leads to error during diagnosis process. The proposed system remove noise from the given images using a method called spectral subtraction de noising (SSD) and Kernel Weighted Fuzzy C Means (KWFCM) has been used for segmentation. This method incorporates spatial information and the membership weighting of every cluster has been altered after the cluster distribution in the neighborhood is considered. The paper results will be presented as segmented tissues with various parameter evaluations to show algorithm efficiency.
The developments of micro and nano sensors lead the sensor networking technology to be used in al... more The developments of micro and nano sensors lead the sensor networking technology to be used in all kinds of study. In underwater communications and study, wireless sensor network plays a major role. One among the characteristics of underwater communications is propagation delay that affects the network throughput. To increase the throughput, here we propose the local update routing. In this technique the end to end delay is minimized by using hierarchical WPANs. This is proved with reduced latency using Omnet++ simulator.
Abstract—This paper develops a user-controlled low power home surveillance system with the help o... more Abstract—This paper develops a user-controlled low power home surveillance system with the help of low power sensor groups. The system helps to avoid unnecessary wastage of power and shortcomings of memory conditions. It consists of two sensor groups; alert sensor group which is placed outdoor near doors and windows and detection sensor group which is placed indoor. The alert sensor group senses when an intruder passes through and wakes up the MCU in sleep mode. This activated MCU provides power supply for detection sensor group. When the detection sensor group detects the presence of intruder, the signals will be given to the MCU. It will turn on the web camera to capture images and upload them by means of web server through Internet. Only user can control the entire surveillance system by establishing a call through GSM. In addition to it, this system helps to monitor the household activities in real time from anywhere. Keywords—Home Embedded surveillance, Low-power
In this paper, we describe about the performance of different mobility models on MMS Routing. MMS... more In this paper, we describe about the performance of different mobility models on MMS Routing. MMS routing is the technique used for large wireless sensor networks where MMS indicates multiple mobile sinks. The mobility of sink is considered in random manner in the basic MMS routing. Here we show the effect of different mobility models in the sink‟s mobility. From the observations what we got from simulations we decide that wind mobility will be more energy efficient and it is good to be selected for wireless sensor network.
2016 Online International Conference on Green Engineering and Technologies (IC-GET)
Color constancy is a concept used in various computer vision applications, such as image segmenta... more Color constancy is a concept used in various computer vision applications, such as image segmentation, object recognition, scene classification, and image forensics. This work speaks about designing an adaptive color constancy algorithm which identifies the regions of skin found in faces. Illumination level is estimated by training and is corrected using proposed algorithm with different source of illumination, thus proving the variation in skin color pixels under different illumination conditions. This algorithm is implemented on images captured using webcam under different illuminations. It is helpful to estimate the illumination and correct the same with respect to the reference image under natural light.
In day to day life, still the majority of the household having an extremely hectic schedule for c... more In day to day life, still the majority of the household having an extremely hectic schedule for cooking. The time taken to cook food in kitchen is very huge, which formulate them exhausted. Currently the technology has grown and automation process was introduced to society for human welfare. The proposed model of a new automatic cooking machine which is fully automated totally based on Arduino Mega. The fundamental inspiration behind this is to create a modernization in kitchen. Such innovation in kitchen will help reducing human efforts which is extraordinarily favorable to every person. This machine having following functions: pumping raw ingredients into pan, stirring then cooking. Also this machine maintains the quality with quantity of cooking food. The main aim of this model is to create the cooking very simple, trouble-free and a lesser amount of time consuming.
The developments of micro and nano sensors lead the sensor networking technology to be used in al... more The developments of micro and nano sensors lead the sensor networking technology to be used in all kinds of study. In underwater communications and study, wireless sensor network plays a major role. One among the characteristics of underwater communications is propagation delay that affects the network throughput. To increase the throughput, here we propose the local update routing. In this technique the end to end delay is minimized by using hierarchical WPANs. This is proved with reduced latency using Omnet++ simulator.
2017 International Conference on Computing Methodologies and Communication (ICCMC), 2017
Signal fusion is the process of combining two or more signals into a single signal. The resulting... more Signal fusion is the process of combining two or more signals into a single signal. The resulting signal takes less time for transmission than sending the signals individually. Hence signal fusion can be used with medical videos in case of dealing with emergencies. This paper aims to demonstrate the application of basic transform domain methods in medical video fusion of ECG and EEG. PSNR and MSE parameters are used for measuring the fusion effect. The effectiveness of the fusion scheme is finally based on Hybrid transform.
This paper surveys about the brief description of headache and its types and various methodologie... more This paper surveys about the brief description of headache and its types and various methodologies used for the headache measurement. The measurement process is associated with either Electromyography (EMG) or Electroencephalography (EEG) or Active Release Technique or 133Xe Inhalation Technique. These techniques are studied to observe headache abnormalities in the human beings. These techniques are used differently for evaluating and recording the electrical pulses arise in the head. When brain veins are electrically or neurologically activated then the signal is analysed to detect headache abnormalities.
Set routing is one of the methods used for maximum data collection in mobile wireless sensor netw... more Set routing is one of the methods used for maximum data collection in mobile wireless sensor networks. In this routing the entire network is divided into many sets. Route maintenance is the major problem with any routing algorithm in mobile wireless sensor networks. Because of mobility and node failures the routes keeps on changing. The problem with the route maintenance in set routing can be overcome by using fuzzy sets. This fuzzy set provides the quality of the old route as well as the necessity for the new route. This is given along with the routing table and is written on the sink node or base station. This reduces the individual node overhead. Simulation is performed with OMNET++ simulator. Result shows the effectiveness of the fuzzy set in route maintenance and new route determination.
The complication of blood pressure and diabetes can affect various parts of the body. Diabetes an... more The complication of blood pressure and diabetes can affect various parts of the body. Diabetes and hig h blood pressure are major causes of blindness in the world . Due to high blood pressure and blockage in the bl ood flow causes swelling in ocular fundus which may leads to the formation of exudates. To diagnose the swellin g in the retinal blood vessels and extract the features vari ous methods are already proposed which are not clea r. This paper proposes an efficient extraction of blood vessels a nd segmentation of exudates. In the proposed techni que, the retinal image is initially super-resoluted and then the green plane is separated for accurate vessel e xtraction. Morphology operators using multi structure elements are applied to the enhanced image in order to find the retinal image ridges and reconstruction is performed to eli minate the ridges that are not belonging to the ves sel tree while thin vessels remain unchanged. Segmentation using f uzzy clustering technique is p...
In this paper, MMS (Multiple Mobile Sinks) routing algorithm which handles the sink node mobility... more In this paper, MMS (Multiple Mobile Sinks) routing algorithm which handles the sink node mobility is proposed in order to handle the overhead mobility, with maximum lifetime and energy efficiency, reduced end to end delay amidst topology changes for assured security for monitoring campus and environment control applications. In this MMS routing, multiple mobile sinks are used to collect the data from the wireless sensor network which is deployed around entire campus like university. The mobility of sinks makes the transmission of data from source node to sink node easier by reducing the number of intermediate router nodes. For each mobile sink, a particular region like department block is allotted and the performance of MMS routing with respect to region of interest and the total area of interest are studied. The impact of different mobility models are analyzed with MMS routing and found that the wind mobility model provides better performance. To enhance the performance of MMS rout...
Wavelet transform has played an important role in Image processing task such as compression and r... more Wavelet transform has played an important role in Image processing task such as compression and restoration. Unlike most of existing denoising algorithms, using the curvelet makes it needless to hypothesize a statistical model for the noiseless image. This wavelet transform fails to represent the images, which has edges and treated them as smooth functions with discontinuity along curves. The curvelet transforms, where frame elements are indexed by scale, location and orientation parameters. This curvelet transform is designed to represent edges and other singularities along the curves which are more efficient than the traditional wavelet transform. Moreover, the curvelet transform and Gaussian filter are used for an effective image denoising system. This process will be based on the block-based noise estimation technique, in which an input image will be contaminated by the additive white Gaussian noise and filtering process to be performed by an adaptive Gaussian filter and curvele...
Color constancy is a concept used in various computer vision applications, such as image segmenta... more Color constancy is a concept used in various computer vision applications, such as image segmentation, object recognition, scene classification, and image forensics. This work speaks about designing an adaptive color constancy algorithm which identifies the regions of skin found in faces. Illumination level is estimated by training and is corrected using proposed algorithm with different source of illumination, thus proving the variation in skin color pixels under different illumination conditions. This algorithm is implemented on images captured using webcam under different illuminations. It is helpful to estimate the illumination and correct the same with respect to the reference image under natural light.
The development of Digital Image Correlation (DIC) have created a popular, attractive factor for ... more The development of Digital Image Correlation (DIC) have created a popular, attractive factor for full-field displacement and measuring strain. Inspite of its improvement, it is sufficiently used as a post-processing factor because of its computational cost and accuracy. In recent years, many researchers proposed new algorithms to improve the accuracy and speed using DIC. The objective of this work focus on subset image size and selection of seed points using image registration process along with average gradient of corner feature. With the help of image correlation method in strain measurement is executed from its first step of setting reference image, deformed images with different loads, matching the sub pixel location, selection of seed point to obtain strain field on surface under this research. The procedure of DIC method in utilizing open source platform Ncorr. Finally, the experimental output validation is evaluated from strain measurement and the result compared with strain ...
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Papers by Godwin Premi