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Image Feature Detectors and Descriptors
(Englisch)
Foundations and Applications
Awad, Ali Ismail & Hassaballah, Mahmoud

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Image Feature Detectors and Descriptors

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  • Springer Basel AG
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  • 448755546

Produktbeschreibung

Assembles an up-to-date body of knowledge documenting the major advances and key emerging trends in the feature detectors with respect to foundations, new directions, and applications

Presents studies which couple computational theories and algorithms with real-time applications of image features

Provides comprehensive reviews of cutting–edge state-of-the-art algorithms, technologies, and applications

Offers new insights into a range of fundamentally important topics in image processing, computer vision, and pattern recognition, which basically depend on image features and feature detectors–edge state-of-the-art algorithms, technologies, and applications


Introduction.- Image Features Detection, Deillegalscription 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 Deillegalscriptors.- 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 bookprovides readers with a selection of high-quality chapters that cover boththeoretical concepts and practical applications of image feature detectors anddeillegalscriptors. It serves as reference for researchers and practitioners byfeaturing survey chapters and research contributions on image feature detectorsand deillegalscriptors. Additionally, it emphasizes several keywords in boththeoretical and practical aspects of image feature extraction. The keywordsinclude acceleration of feature detection and extraction, hardwareimplantations, image segmentation, evolutionary algorithm, ordinal measures, aswell as visual speech recognition.

 




Introduction.- Image Features Detection, Deillegalscription 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 Deillegalscriptors.- 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.

Inhaltsverzeichnis

Introduction.- Image Features Detection, Deillegalscription 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 Deillegalscriptors.- 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.


Klappentext

This book
provides readers with a selection of high-quality chapters that cover both
theoretical concepts and practical applications of image feature detectors and
deillegalscriptors. It serves as reference for researchers and practitioners by
featuring survey chapters and research contributions on image feature detectors
and deillegalscriptors. 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.




Assembles an up-to-date body of knowledge documenting the major advances and key emerging trends in the feature detectors with respect to foundations, new directions, and applications

Presents studies which couple computational theories and algorithms with real-time applications of image features

Provides comprehensive reviews of cutting-edge state-of-the-art algorithms, technologies, and applications

Offers new insights into a range of fundamentally important topics in image processing, computer vision, and pattern recognition, which basically depend on image features and feature detectors-edge state-of-the-art algorithms, technologies, and applications



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