This book constitutes the thoroughly refereed post-conference proceedings of the third International Symposium on Intelligent Systems Technologies and Applications (ISTA'17), September 13-16, 2017, Manipal, Karnataka, India. All submissions were evaluated on the basis of their significance, novelty, and technical quality. This proceedings contains 34 papers selected for presentation at the Symposium.
Inhaltsverzeichnis
A Color Image Segmentation Scheme for Extracting Foreground from Images with Unconstrained Lighting Conditions. - Automatic Diagnosis of Breast Cancer Using Thermographic Color Analysis and SVM Classifier. - Enhancement of Dental Digital X-Ray Images Based on the Image Quality. - MRI/CT Image Fusion Using Gabor Texture Features. - Face Recognition in Videos Using Gabor Filters. - Convolutional Neural Networks Based Method for Improving Facial Expression Recognition. - Composition of DCT-SVD Image Watermarking and Advanced Encryption Standard Technique for Still Image. - Performance Analysis of Human Detection and Tracking System in Changing Illumination. - Comparative Analysis of Segmentation Algorithms Using Threshold and K-Mean Clustering. - Semi-Supervised FCM and SVM in Co-Training Framework for the Classification of Hyperspectral Images. - Segmentation of Thermal Images Using Thresholding-Based Methods for Detection of Malignant Tumours. - Recognition of Handwritten Benzene Structure with Support Vector Machine and. - Logistic Regression a Comparative Study. - Image and Pixel Based Scheme for Bleeding Detection in Wireless Capsule Endoscopy Images. - Leaf Recognition Algorithm for Retrieving Medicinal Information. - Camouflaged Target Detection and Tracking Using Thermal Infrared and Visible Spectrum Imaging. - Heuristic Approach for Face Recognition Using Artificial Bee Colony Optimization. - ILTDS: Intelligent Lung Tumor Detection System on CT Images. - Blink Analysis Using Eye Gaze Tracker. - A Survey of Brain MRI Image Segmentation Methods and the Issues Involved. - Scene Understanding in Images.