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V. Chatzis

Democritus University of Thrace, Management Science and Technology, Faculty Member

International Hellenic University - IHU, Management Science and Technology, Faculty Member

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ganesan Kaliyaperumal

VIT University

Wrocław University of Technology

Louisiana State University

Sathian Pookkuttath

Singapore University of Technology and Design (SUTD)

Cristina Budaciu

Tehnical University Gheorghe Asachi

Francisco-Angel Moreno

University of Málaga

Universität zu Luebeck

Swinburne University of Technology, Sarawak

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Papers by V. Chatzis

Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study

Sensors

The development of an effective agricultural robot presents various challenges in actuation, loca... more The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the prescribed task. Moreover, when multiple robots are engaged in an agricultural task, this requires appropriate coordination strategies to be developed to ensure safe, effective, and efficient operation. This paper presents a simulation study that demonstrates a robust coordination strategy for the navigation of two heterogeneous robots, where one robot is the expert and the second robot is the helper in a vineyard. The robots are equipped with localization and navigation capabilities so that they can navigate the environment and appropriately position themselves in the work area. A modular collaborative algorithm is proposed for the coordinated navigation of the two robots in the field via a communications module. Furthermore, the robots are also able to position themselves accurately relative to each other using a vision module in or...

Select and split fuzzy cell Hough transform-a fast and efficient method to detect contours in images

Proceedings of IEEE 5th International Fuzzy Systems

In this paper a new variation of Hough transform is proposed. The parameter space of Hough Transf... more In this paper a new variation of Hough transform is proposed. The parameter space of Hough Transform is iteratively split into fuzzy cells which are defined as fuzzy numbers. Each fuzzy cell corresponds to a fuzzy curve in the spatial domain. After each iteration the fuzziness of the cells is reduced and the curves are estimated with better accuracy. The

Fast and robust fuzzy active contours

This paper presents a new approach for the detection of image objects, based on active contours b... more This paper presents a new approach for the detection of image objects, based on active contours by exploiting techniques of curve evolution. The proposed model of active contours is based on the minimization of a fuzzy energy, which can be seen as a particular case of a minimal partition problem. Unlike to existing methods, the adopted fuzzy energy does not depend on the gradient of the image, but is related to the image color and spatial segments. The proposed fuzzy energy is used as the model motivation power evolving the active contour, which will stop on the desired object boundary. The fuzziness of the energy and the exploitation of both local gray-scale and spatial information provide a balanced technique with a strong ability to reject "weak", as well as, "strong" local minima. The proposed approach is faster comparing to existing active contour models, due to the fact that the fuzzy energy calculations are computed directly instead of solving the Euler-La...

A novel workspace for image clustering

2011 17th International Conference on Digital Signal Processing (DSP), 2011

ABSTRACT A novel image clustering method based on the image histogram, which is processed by the ... more ABSTRACT A novel image clustering method based on the image histogram, which is processed by the empirical mode decomposition (EMD) is presented. An intermediate step derived from the EMD, which can decompose any nonlinear and non-stationary data into a number of intrinsic mode functions (IMFs) is exploited. The IMFs of the image histogram have interesting characteristics and provide a novel workspace that is utilized in order to automatically detect the different clusters into the image under examination. The proposed method was applied to several real and synthetic images and the obtained results show good image clustering robustness.

Frequency-based object orientation and scaling determination

2006 IEEE International Symposium on Circuits and Systems

ABSTRACT A major disadvantage of image retrieval systems is their lack of objects orientation and... more ABSTRACT A major disadvantage of image retrieval systems is their lack of objects orientation and scaling matching. This paper addresses the issue of accurate, effective, computationally efficient, fast and fully-automated 2D object orientation and scaling determination. The approach relies on the objects frequency-based features. The frequency-based features used by the proposed technique, are extracted by a 2D physics-based deformable model that parameterizes the objects shape. The method was evaluated on synthetic and real images. The experimental results demonstrate the accuracy of the method, both in orientation and the scaling estimations

An Empirical Method for Threshold Selection‖

The performance of a number of image processing methods depends on the output quality of a thresh... more The performance of a number of image processing methods depends on the output quality of a thresholding process. Typical thresholding methods are based on partitioning pixels in an image into two clusters. In this paper, a new thresholding method is presented. The main contribution of the proposed approach is the application of the empirical mode decomposition (EMD) on detecting an optimal threshold for an input image. The EMD algorithm can decompose any nonlinear and non-stationary data into a number of intrinsic mode functions (IMFs). When the image is decomposed by empirical mode decomposition (EMD), the intermediate IMFs of the image histogram have very good characteristics on image thresholding. The experimental results are provided to show the effectiveness of the proposed threshold selection method.

Web Based html-rich text Editor “web-editor” Using Open Source Software

ABSTRACT This paper presents a web-based text and html editing application. The user can manipula... more ABSTRACT This paper presents a web-based text and html editing application. The user can manipulate the text almost as well as in a word processor and add the most frequently used html elements such as buttons, text areas and text fields. Since the document is formed the application can generate the html code for it. The application is relied on open source software. The tools used are DHtml, CSS and Javascript both for scripting and design issues. The application can be used in both Internet Explorer and Netscape based browsers through an automatic selection. It has low requirements and it can be used in both old and new computer systems. The main difference with other editors consists to the fact that opposite to them, only pure html and javascript is being used making the code as simple as possible. In addition “web-editor” can be easily adapted in any web based application.

Workspace for image clustering based on empirical mode decomposition

IET Image Processing, 2012

ABSTRACT This study presents a new approach for image clustering, which is based on a novel works... more ABSTRACT This study presents a new approach for image clustering, which is based on a novel workspace derived from the empirical mode decomposition (EMD). The proposed algorithm exploits the EMD, which can decompose any non-linear and non-stationary data into a number of intrinsic mode functions (IMFs). The intermediate IMFs of the image histogram have very good characteristics and provide a robust workspace that is utilised in order to detect the clusters of an image in a fast way. The proposed method was applied to several images and the obtained results show good image clustering robustness and low computational time, overcoming the disadvantages of the existing image clustering algorithms.

A Robust Fuzzy Local Information C-Means Clustering Algorithm

IEEE Transactions on Image Processing, 2010

to 2002. His current research interests are in the areas of digital image processing, image retri... more

A Skeleton Family Generator via Physics-Based Deformable Models

IEEE Transactions on Image Processing, 2009

This paper presents a novel approach for object skeleton family extraction. The introduced techni... more This paper presents a novel approach for object skeleton family extraction. The introduced technique utilizes a 2-D physics-based deformable model that parameterizes the objects shape. Deformation equations are solved exploiting modal analysis, and proportional to model physical characteristics, a different skeleton is produced every time, generating, in this way, a family of skeletons. The theoretical properties and the experiments presented demonstrate that obtained skeletons match to hand-labeled skeletons provided by human subjects, even in the presence of significant noise and shape variations, cuts and tears, and have the same topology as the original skeletons. In particular, the proposed approach produces no spurious branches without the need of any known skeleton pruning method.

Principal Axes Estimation Using the Vibration Modes of Physics-Based Deformable Models

IEEE Transactions on Image Processing, 2008

This paper addresses the issue of accurate, effective, computationally efficient, fast, and fully... more This paper addresses the issue of accurate, effective, computationally efficient, fast, and fully automated 2-D object orientation and scaling factor estimation. The object orientation is calculated using object principal axes estimation. The approach relies on the object's frequency-based features. The frequency-based features used by the proposed technique are extracted by a 2-D physics-based deformable model that parameterizes the objects shape. The method was evaluated on synthetic and real images. The experimental results demonstrate the accuracy of the method, both in orientation and the scaling estimations.

An Internet Application for Lab-Group Booking Using Open Source Software‖

ABSTRACT This paper presents an internet application that helps students to book laboratories gro... more ABSTRACT This paper presents an internet application that helps students to book laboratories groups. The application is based on a relational database. The aim of this application is to automate the booking procedure, to provide speed, flexibility and efficiency for users. The application has been developed only using open source software. MySQL has been preferred as a relational database system for the database design. Scripting language PHP was used to develop the application and to connect the application with the database. This e- application has been applied with success in the Department of Information Management of Technological Institute of Kavala, Greece.

Web based application for registering degree projects

The purpose of this paper is to present the web-based application "e-project" accessing a relatio... more The purpose of this paper is to present the web-based application "e-project" accessing a relational database through internet. The tools that have been used to build this application are MySQL as a relational database system for the database design, TCL as a computer language for the development of the application, JavaScript language scripts has been included in source code and HTML for the internet user interface programming. The aim of the application is to provide easy access to the submitted projects and dissertations of the Information Management Department of the Technological Institute of Kavala, Greece to each authorized user. The users are separated to three different groups, the administrator, the professors and the regular users which are the students of the department.

Design and simulation of a QCA 2 to 1 multiplexer

In this paper a novel design of a quantum-dot cellular automata (QCA) 2 to 1 multiplexer is prese... more In this paper a novel design of a quantum-dot cellular automata (QCA) 2 to 1 multiplexer is presented. The objective is the development of a modular design methodology which can be used to design 2 n to 1 multiplexers using building blocks. For the QCA implementation a careful consideration is taken into account concerning the design in order to increase the device stability. The proposed multiplexer is designed and simulated using the QCADesigner tool.

Fuzzy Energy-Based Active Contours

IEEE Transactions on Image Processing, 2009

This paper presents a novel fast model for active contours to detect objects in an image, based o... more This paper presents a novel fast model for active contours to detect objects in an image, based on techniques of curve evolution. The proposed model can detect objects whose boundaries are not necessarily defined by gradient, based on the minimization of a fuzzy energy, which can be seen as a particular case of a minimal partition problem. This fuzzy energy is used as the model motivation power evolving the active contour, which will stop on the desired object boundary. However, the stopping term does not depend on the gradient of the image, as most of the classical active contours, but instead is related to the image color and spatial segments. The fuzziness of the energy provides a balanced technique with a strong ability to reject "weak" local minima. Moreover, this approach converges to the desired object boundary very fast, since it does not solve the Euler-Lagrange equations of the underlying problem, but, instead, calculates the fuzzy energy alterations directly. The theoretical properties and various experiments presented demonstrate that the proposed fuzzy energy-based active contour is better and more robust than classical snake methods based on the gradient or other kind of energies.

A Configurable Design for Morphological Erosion and Dilation Operations in Image Processing using Quantum-dot Cellular Automata

Journal of Engineering Science and Technology Review, 2016

This paper presents a novel configurable design for the implementation of basic morphological ope... more This paper presents a novel configurable design for the implementation of basic morphological operations based on Quantum-dot Cellular Automata (QCA) technology. QCA is a promising technology in the field of nanoelectronics that could be utilized in many image processing applications. QCA architecture will provide better performance by exploiting parallel processing, better silicon-area utilization, maximization of clock speed and very low power consumption. Fundamentals of QCA technology and circuit design and the basic operations of mathematical morphology are presented in brief. A new innovative QCA design that is capable to implement either the erosion or the dilation morphological operation, configured by the value of one-bit input is designed, simulated and tested with success.

Incorporating TQM in higher education: Students’ assessment of academic performance

The implementation of Total Quality Management (TQM) principles in Higher Education Institutes (H... more The implementation of Total Quality Management (TQM) principles in Higher Education Institutes (HEIs) is still controversial although the debate is a long standing one. The main objective of the paper is to contribute to the preceding debate in support of the view that TQM can be implemented at departmental level in HEIs as well as in business. The paper examines whether the adoption of TQM by a department of a HEI can lead to academic quality improvement and increase in students' satisfaction. A student sample of 4325 electronic questionnaires was employed in a three semester period before, during and after acquiring an ISO 9001:2000 qualification. The results provide evidence that students' satisfaction of academic performance was enhanced due to implementation of TQM at departmental level. The strengths and weaknesses of the department were revealed while motivation of faculty members has been witnessed. The paper also suggests that TQM principles can be applied in Higher Education just as easily as in business. The contribution of the paper is the propositions made to educational authorities in order to improve the quality of tertiary education.

Introducing the select and split fuzzy cell Hough transform

ABSTRACT

3D Binary Fast Morphological Shape Decomposition

In this paper the use of a fast algorithm for implementing shape decomposition of 3D binary objec... more In this paper the use of a fast algorithm for implementing shape decomposition of 3D binary objects is proposed. Shape decomposition is performed by successive 3D erosions and dilations, using 3D structuring elements of arbitrary size and shape. The proposed fast shape decomposition algorithm is based on a fast implementation of the basic morphological operation of Minkowski addition for the special case of binary 3D images (binary volumes). Experiments that evaluate the use of several structuring elements are also presented. The use of 2D and ID structuring elements is also proposed to minimize the error of the reconstructed object.

Simulation of an access control system for image-related services

Abstract This paper presents a simulation of an access control system that deals with the problem... more

Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study

Sensors

The development of an effective agricultural robot presents various challenges in actuation, loca... more The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the prescribed task. Moreover, when multiple robots are engaged in an agricultural task, this requires appropriate coordination strategies to be developed to ensure safe, effective, and efficient operation. This paper presents a simulation study that demonstrates a robust coordination strategy for the navigation of two heterogeneous robots, where one robot is the expert and the second robot is the helper in a vineyard. The robots are equipped with localization and navigation capabilities so that they can navigate the environment and appropriately position themselves in the work area. A modular collaborative algorithm is proposed for the coordinated navigation of the two robots in the field via a communications module. Furthermore, the robots are also able to position themselves accurately relative to each other using a vision module in or...

Select and split fuzzy cell Hough transform-a fast and efficient method to detect contours in images

Proceedings of IEEE 5th International Fuzzy Systems

In this paper a new variation of Hough transform is proposed. The parameter space of Hough Transf... more In this paper a new variation of Hough transform is proposed. The parameter space of Hough Transform is iteratively split into fuzzy cells which are defined as fuzzy numbers. Each fuzzy cell corresponds to a fuzzy curve in the spatial domain. After each iteration the fuzziness of the cells is reduced and the curves are estimated with better accuracy. The

Fast and robust fuzzy active contours

This paper presents a new approach for the detection of image objects, based on active contours b... more This paper presents a new approach for the detection of image objects, based on active contours by exploiting techniques of curve evolution. The proposed model of active contours is based on the minimization of a fuzzy energy, which can be seen as a particular case of a minimal partition problem. Unlike to existing methods, the adopted fuzzy energy does not depend on the gradient of the image, but is related to the image color and spatial segments. The proposed fuzzy energy is used as the model motivation power evolving the active contour, which will stop on the desired object boundary. The fuzziness of the energy and the exploitation of both local gray-scale and spatial information provide a balanced technique with a strong ability to reject "weak", as well as, "strong" local minima. The proposed approach is faster comparing to existing active contour models, due to the fact that the fuzzy energy calculations are computed directly instead of solving the Euler-La...

A novel workspace for image clustering

2011 17th International Conference on Digital Signal Processing (DSP), 2011

ABSTRACT A novel image clustering method based on the image histogram, which is processed by the ... more ABSTRACT A novel image clustering method based on the image histogram, which is processed by the empirical mode decomposition (EMD) is presented. An intermediate step derived from the EMD, which can decompose any nonlinear and non-stationary data into a number of intrinsic mode functions (IMFs) is exploited. The IMFs of the image histogram have interesting characteristics and provide a novel workspace that is utilized in order to automatically detect the different clusters into the image under examination. The proposed method was applied to several real and synthetic images and the obtained results show good image clustering robustness.

Frequency-based object orientation and scaling determination

2006 IEEE International Symposium on Circuits and Systems

ABSTRACT A major disadvantage of image retrieval systems is their lack of objects orientation and... more ABSTRACT A major disadvantage of image retrieval systems is their lack of objects orientation and scaling matching. This paper addresses the issue of accurate, effective, computationally efficient, fast and fully-automated 2D object orientation and scaling determination. The approach relies on the objects frequency-based features. The frequency-based features used by the proposed technique, are extracted by a 2D physics-based deformable model that parameterizes the objects shape. The method was evaluated on synthetic and real images. The experimental results demonstrate the accuracy of the method, both in orientation and the scaling estimations

An Empirical Method for Threshold Selection‖

The performance of a number of image processing methods depends on the output quality of a thresh... more The performance of a number of image processing methods depends on the output quality of a thresholding process. Typical thresholding methods are based on partitioning pixels in an image into two clusters. In this paper, a new thresholding method is presented. The main contribution of the proposed approach is the application of the empirical mode decomposition (EMD) on detecting an optimal threshold for an input image. The EMD algorithm can decompose any nonlinear and non-stationary data into a number of intrinsic mode functions (IMFs). When the image is decomposed by empirical mode decomposition (EMD), the intermediate IMFs of the image histogram have very good characteristics on image thresholding. The experimental results are provided to show the effectiveness of the proposed threshold selection method.

Web Based html-rich text Editor “web-editor” Using Open Source Software

ABSTRACT This paper presents a web-based text and html editing application. The user can manipula... more ABSTRACT This paper presents a web-based text and html editing application. The user can manipulate the text almost as well as in a word processor and add the most frequently used html elements such as buttons, text areas and text fields. Since the document is formed the application can generate the html code for it. The application is relied on open source software. The tools used are DHtml, CSS and Javascript both for scripting and design issues. The application can be used in both Internet Explorer and Netscape based browsers through an automatic selection. It has low requirements and it can be used in both old and new computer systems. The main difference with other editors consists to the fact that opposite to them, only pure html and javascript is being used making the code as simple as possible. In addition “web-editor” can be easily adapted in any web based application.

Workspace for image clustering based on empirical mode decomposition

IET Image Processing, 2012

ABSTRACT This study presents a new approach for image clustering, which is based on a novel works... more ABSTRACT This study presents a new approach for image clustering, which is based on a novel workspace derived from the empirical mode decomposition (EMD). The proposed algorithm exploits the EMD, which can decompose any non-linear and non-stationary data into a number of intrinsic mode functions (IMFs). The intermediate IMFs of the image histogram have very good characteristics and provide a robust workspace that is utilised in order to detect the clusters of an image in a fast way. The proposed method was applied to several images and the obtained results show good image clustering robustness and low computational time, overcoming the disadvantages of the existing image clustering algorithms.

A Robust Fuzzy Local Information C-Means Clustering Algorithm

IEEE Transactions on Image Processing, 2010

to 2002. His current research interests are in the areas of digital image processing, image retri... more

A Skeleton Family Generator via Physics-Based Deformable Models

IEEE Transactions on Image Processing, 2009

This paper presents a novel approach for object skeleton family extraction. The introduced techni... more This paper presents a novel approach for object skeleton family extraction. The introduced technique utilizes a 2-D physics-based deformable model that parameterizes the objects shape. Deformation equations are solved exploiting modal analysis, and proportional to model physical characteristics, a different skeleton is produced every time, generating, in this way, a family of skeletons. The theoretical properties and the experiments presented demonstrate that obtained skeletons match to hand-labeled skeletons provided by human subjects, even in the presence of significant noise and shape variations, cuts and tears, and have the same topology as the original skeletons. In particular, the proposed approach produces no spurious branches without the need of any known skeleton pruning method.

Principal Axes Estimation Using the Vibration Modes of Physics-Based Deformable Models

IEEE Transactions on Image Processing, 2008

This paper addresses the issue of accurate, effective, computationally efficient, fast, and fully... more This paper addresses the issue of accurate, effective, computationally efficient, fast, and fully automated 2-D object orientation and scaling factor estimation. The object orientation is calculated using object principal axes estimation. The approach relies on the object's frequency-based features. The frequency-based features used by the proposed technique are extracted by a 2-D physics-based deformable model that parameterizes the objects shape. The method was evaluated on synthetic and real images. The experimental results demonstrate the accuracy of the method, both in orientation and the scaling estimations.

An Internet Application for Lab-Group Booking Using Open Source Software‖

ABSTRACT This paper presents an internet application that helps students to book laboratories gro... more ABSTRACT This paper presents an internet application that helps students to book laboratories groups. The application is based on a relational database. The aim of this application is to automate the booking procedure, to provide speed, flexibility and efficiency for users. The application has been developed only using open source software. MySQL has been preferred as a relational database system for the database design. Scripting language PHP was used to develop the application and to connect the application with the database. This e- application has been applied with success in the Department of Information Management of Technological Institute of Kavala, Greece.

Web based application for registering degree projects

The purpose of this paper is to present the web-based application "e-project" accessing a relatio... more The purpose of this paper is to present the web-based application "e-project" accessing a relational database through internet. The tools that have been used to build this application are MySQL as a relational database system for the database design, TCL as a computer language for the development of the application, JavaScript language scripts has been included in source code and HTML for the internet user interface programming. The aim of the application is to provide easy access to the submitted projects and dissertations of the Information Management Department of the Technological Institute of Kavala, Greece to each authorized user. The users are separated to three different groups, the administrator, the professors and the regular users which are the students of the department.

Design and simulation of a QCA 2 to 1 multiplexer

In this paper a novel design of a quantum-dot cellular automata (QCA) 2 to 1 multiplexer is prese... more In this paper a novel design of a quantum-dot cellular automata (QCA) 2 to 1 multiplexer is presented. The objective is the development of a modular design methodology which can be used to design 2 n to 1 multiplexers using building blocks. For the QCA implementation a careful consideration is taken into account concerning the design in order to increase the device stability. The proposed multiplexer is designed and simulated using the QCADesigner tool.

Fuzzy Energy-Based Active Contours

IEEE Transactions on Image Processing, 2009

This paper presents a novel fast model for active contours to detect objects in an image, based o... more This paper presents a novel fast model for active contours to detect objects in an image, based on techniques of curve evolution. The proposed model can detect objects whose boundaries are not necessarily defined by gradient, based on the minimization of a fuzzy energy, which can be seen as a particular case of a minimal partition problem. This fuzzy energy is used as the model motivation power evolving the active contour, which will stop on the desired object boundary. However, the stopping term does not depend on the gradient of the image, as most of the classical active contours, but instead is related to the image color and spatial segments. The fuzziness of the energy provides a balanced technique with a strong ability to reject "weak" local minima. Moreover, this approach converges to the desired object boundary very fast, since it does not solve the Euler-Lagrange equations of the underlying problem, but, instead, calculates the fuzzy energy alterations directly. The theoretical properties and various experiments presented demonstrate that the proposed fuzzy energy-based active contour is better and more robust than classical snake methods based on the gradient or other kind of energies.

A Configurable Design for Morphological Erosion and Dilation Operations in Image Processing using Quantum-dot Cellular Automata

Journal of Engineering Science and Technology Review, 2016

This paper presents a novel configurable design for the implementation of basic morphological ope... more This paper presents a novel configurable design for the implementation of basic morphological operations based on Quantum-dot Cellular Automata (QCA) technology. QCA is a promising technology in the field of nanoelectronics that could be utilized in many image processing applications. QCA architecture will provide better performance by exploiting parallel processing, better silicon-area utilization, maximization of clock speed and very low power consumption. Fundamentals of QCA technology and circuit design and the basic operations of mathematical morphology are presented in brief. A new innovative QCA design that is capable to implement either the erosion or the dilation morphological operation, configured by the value of one-bit input is designed, simulated and tested with success.

Incorporating TQM in higher education: Students’ assessment of academic performance

The implementation of Total Quality Management (TQM) principles in Higher Education Institutes (H... more The implementation of Total Quality Management (TQM) principles in Higher Education Institutes (HEIs) is still controversial although the debate is a long standing one. The main objective of the paper is to contribute to the preceding debate in support of the view that TQM can be implemented at departmental level in HEIs as well as in business. The paper examines whether the adoption of TQM by a department of a HEI can lead to academic quality improvement and increase in students' satisfaction. A student sample of 4325 electronic questionnaires was employed in a three semester period before, during and after acquiring an ISO 9001:2000 qualification. The results provide evidence that students' satisfaction of academic performance was enhanced due to implementation of TQM at departmental level. The strengths and weaknesses of the department were revealed while motivation of faculty members has been witnessed. The paper also suggests that TQM principles can be applied in Higher Education just as easily as in business. The contribution of the paper is the propositions made to educational authorities in order to improve the quality of tertiary education.

Introducing the select and split fuzzy cell Hough transform

ABSTRACT

3D Binary Fast Morphological Shape Decomposition

In this paper the use of a fast algorithm for implementing shape decomposition of 3D binary objec... more In this paper the use of a fast algorithm for implementing shape decomposition of 3D binary objects is proposed. Shape decomposition is performed by successive 3D erosions and dilations, using 3D structuring elements of arbitrary size and shape. The proposed fast shape decomposition algorithm is based on a fast implementation of the basic morphological operation of Minkowski addition for the special case of binary 3D images (binary volumes). Experiments that evaluate the use of several structuring elements are also presented. The use of 2D and ID structuring elements is also proposed to minimize the error of the reconstructed object.

Simulation of an access control system for image-related services

Abstract This paper presents a simulation of an access control system that deals with the problem... more

Face to Iris Area Ratio as a feature for children detection in digital forensics applications

Performance Benchmarking of Visual Human Tracking Algorithms for UAVs

A novel methodology for sailing boat waterline plane definition using 3D point cloud

User Perception and Evaluation of a Deep Learning Framework for Audience Engagement Analysis in Mass Events

Performance benchmark of deep learning human pose estimation for UAVs

A physics-based dual deformable model

Coordinated Navigation of Two Agricultural Robots in a Vineyard: A Simulation Study