Image Feature Detectors and Descriptors

Foundations and Applications

AvAli Ismail Awad,Mahmoud Hassaballah

Inbunden, Engelska, 2016

Del i serien Studies in Computational Intelligence

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Beskrivning

This bookprovides readers with a selection of high-quality chapters that cover boththeoretical concepts and practical applications of image feature detectors anddescriptors. It serves as reference for researchers and practitioners byfeaturing survey chapters and research contributions on image feature detectorsand descriptors. 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.

Produktinformation

Utgivningsdatum:2016-03-02
Mått:155 x 235 x 30 mm
Vikt:834 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:438
Upplaga:16001
Förlag:Springer International Publishing AG
ISBN:9783319288529

Utforska kategorier

Innehållsförteckning

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.