Image Feature Detectors and Descriptors : Foundations and Applications

✍ Scribed by Ali Ismail Awad, Mahmoud Hassaballah (eds.)

• Publisher: Springer International Publishing
• Year: 2016
• Tongue: English
• Leaves: 437
• Series: Studies in Computational Intelligence 630
• Edition: 1
• Category: Library

✦ Synopsis

This book provides readers with a selection of high-quality chapters that cover both theoretical concepts and practical applications of image feature detectors and descriptors. It serves as reference for researchers and practitioners by featuring survey chapters and research contributions on image feature detectors and descriptors. Additionally, it emphasizes several keywords in both theoretical and practical aspects of image feature extraction. The keywords include acceleration of feature detection and extraction, hardware implantations, image segmentation, evolutionary algorithm, ordinal measures, as well as visual speech recognition.

✦ Table of Contents

Front Matter....Pages i-ix
Detection and Description of Image Features: An Introduction....Pages 1-8
Front Matter....Pages 9-9
Image Features Detection, Description and Matching....Pages 11-45
A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations....Pages 47-74
Image Features Extraction, Selection and Fusion for Computer Vision....Pages 75-107
Image Feature Extraction Acceleration....Pages 109-132
Front Matter....Pages 133-133
Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Features....Pages 135-171
Redundancy Elimination in Video Summarization....Pages 173-202
A Real Time Dactylology Based Feature Extractrion for Selective Image Encryption and Artificial Neural Network....Pages 203-226
Spectral Reflectance Images and Applications....Pages 227-254
Image Segmentation Using an Evolutionary Method Based on Allostatic Mechanisms....Pages 255-279
Image Analysis and Coding Based on Ordinal Data Representation....Pages 281-303
Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina Through a Robust Combination of Fuzzy-Logic and Active Contour Model....Pages 305-344
Registration of Digital Terrain Images Using Nondegenerate Singular Points....Pages 345-366
Visual Speech Recognition with Selected Boundary Descriptors....Pages 367-383
Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions ....Pages 385-409
Application of Statistical Texture Features for Breast Tissue Density Classification....Pages 411-435
Back Matter....Pages 437-438

✦ Subjects

Computational Intelligence; Computer Imaging, Vision, Pattern Recognition and Graphics; Signal, Image and Speech Processing