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Image feature detectors and descriptors = foundations and applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Image feature detectors and descriptors/ edited by Ali Ismail Awad, Mahmoud Hassaballah.
Reminder of title:	foundations and applications /
other author:	Awad, Ali Ismail.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	ix, 438 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Image processing - Digital techniques. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-28854-3
ISBN:	9783319288543

Image feature detectors and descriptors = foundations and applications /
Image feature detectors and descriptorsfoundations and applications /[electronic resource] :edited by Ali Ismail Awad, Mahmoud Hassaballah. - Cham :Springer International Publishing :2016. - ix, 438 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.6301860-949X ;. - Studies in computational intelligence ;v. 50. .

Introduction -- Image Features Detection, Description and Matching -- A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations -- Image Features Extraction, Selection and Fusion for Computer Vision -- Image Feature Extraction Acceleration -- Satellite Image Registration: A Comparative Study Using Invariant Local Features -- Redundancy Elimination in Video Summarization -- A Real Time Dactylology Based Selective Image Encryption Using Speeded Up Robust Features Extraction Technique and Artificial Neural Network -- Spectral Reflectance Images and Applications -- Image Segmentation using an Evolutionary Method based on Allostatic Mechanisms -- Image Analysis and Coding Based on Ordinal Data Representation -- Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina through a Robust Combination of Fuzzy-Logic and Active Contour Model -- Registration of Digital Terrain Images using Nondegenerate Singular Points -- Visual Speech Recognition with Selected Boundary Descriptors -- Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions -- Application of Statistical Texture Features for Breast Tissue Density Classification.

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.

ISBN: 9783319288543

Standard No.: 10.1007/978-3-319-28854-3doiSubjects--Topical Terms:

555959
Image processing
--Digital techniques.

LC Class. No.: TA1637

Dewey Class. No.: 006.6

Image feature detectors and descriptors = foundations and applications /
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505 0 $a Introduction -- Image Features Detection, Description and Matching -- A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations -- Image Features Extraction, Selection and Fusion for Computer Vision -- Image Feature Extraction Acceleration -- Satellite Image Registration: A Comparative Study Using Invariant Local Features -- Redundancy Elimination in Video Summarization -- A Real Time Dactylology Based Selective Image Encryption Using Speeded Up Robust Features Extraction Technique and Artificial Neural Network -- Spectral Reflectance Images and Applications -- Image Segmentation using an Evolutionary Method based on Allostatic Mechanisms -- Image Analysis and Coding Based on Ordinal Data Representation -- Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina through a Robust Combination of Fuzzy-Logic and Active Contour Model -- Registration of Digital Terrain Images using Nondegenerate Singular Points -- Visual Speech Recognition with Selected Boundary Descriptors -- Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions -- Application of Statistical Texture Features for Breast Tissue Density Classification.
520 $a 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.
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