Papers by Suchismita Goswami
An Automatic Method for Bifurcation Angle Calculation in Retinal Fundus Image
Advances in Intelligent Systems and Computing, 2019
Retinal vascular angles are found to be one of the crucial parameters for biometric template gene... more Retinal vascular angles are found to be one of the crucial parameters for biometric template generation. Many of the previous literature have used bifurcation angles for arteriovenous classification also. Acute angles are preferred as bifurcation angles in most of the cases. To prove vascular angle at a bifurcation point as an acute angle is itself a challenging task. In this paper, an initiative has been taken to prove bifurcation angle is acute followed by distinguishing the actual and distorted bifurcation angle. The accuracy of the proposed approach has been evaluated from a publicly available database using the experimental observation.
An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction
Advances in Intelligent Systems and Computing, 2019
Segmentation from colored retina images plays a vital role in stable feature extraction for image... more Segmentation from colored retina images plays a vital role in stable feature extraction for image registration and detection in many ocular diseases. In this study, the authors will look at the segmentation of the blood vessels from fundus images which will further help in preparation of digital template. Here, images are passed through the preprocessing stages and then some of the morphological operators for thresholding are applied on the images for segmentation. Finally, noise removal and binary conversion complete the segmentation method. Then, a number count on blood vessels around the optic disk is done as a feature for further processing. The authors will ensure whether the segmentation accuracy, based on comparison with a ground truth, can serve as a reliable platform for image registration and ocular disease detection. Experiments are done on the images of DRIVE and VARIA databases with an average accuracy of 97.20 and 96.45%, respectively, for segmentation, and a comparati...
Extraction of Distinct Bifurcation Points from Retinal Fundus Images
Advances in Intelligent Systems and Computing, 2016
… , 2010 Proceedings of the …, May 24, 2010
The paper presents a comparison of different classification techniques for the task of classifyin... more The paper presents a comparison of different classification techniques for the task of classifying a speaker's emotional state into one of two classes: aroused and normal. The comparison was conducted using the WEKA (The Waikato Environment for Knowledge Analysis) open source software which consists of a collection of machine learning algorithms for data mining. The aim of this paper is to investigate the efficiency of different classification methods to recognize the emotional state of a speaker with features ...
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Papers by Suchismita Goswami