Hybrid Intelligence for Image Analysis and UnderstandingSiddhartha Bhattacharyya, Indrajit Pan, Anirban Mukherjee, Paramartha Dutta A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the methods of computational intelligence, with an emphasis on hybrid intelligent methods applied to image analysis and understanding. The book offers a diverse range of hybrid intelligence techniques under the umbrellas of image thresholding, image segmentation, image analysis and video analysis. Key features:
The book is essential reading for lecturers, researchers and graduate students in electrical engineering and computer science. |
Contents
Character Recognition Using EntropyBased Fuzzy CMeans | 25 |
A TwoStage Approach to Handwritten Indic Script Identification | 47 |
k Acknowledgments | 75 |
SVM Combination for an Enhanced Prediction of Writers Soft | 103 |
Convolutional | 127 |
Human Behavioral Analysis Using Evolutionary Algorithms and Deep | 165 |
A GIS Anchored Technique for Social Utility Hotspot Detection | 205 |
Spectral Unmixing Classification | 233 |
UncertaintyBased Clustering Algorithms for Medical Image | 283 |
An Optimized Breast Cancer Diagnosis System Using a Cuckoo Search | 297 |
Analysis of Hand Vein Images Using Hybrid Techniques | 315 |
Identification of Abnormal Masses in Digital Mammogram Using | 339 |
4 Experimental Result | 358 |
Automatic Detection of Coronary Artery Stenosis Using Bayesian | 369 |
Evaluating the Efficacy of Multiresolution Texture Features | 391 |
A Hybrid Approach for Band Selection of Hyperspectral Images | 263 |