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Image Feature Detectors and Descriptors: Foundations and Applications de Ali Ismail Awad

Image Feature Detectors and Descriptors: Foundations and Applications: Studies in Computational Intelligence, cartea 630

Editat de Ali Ismail Awad, Mahmoud Hassaballah
en Limba Engleză Hardback – 2 mar 2016
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.
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Specificații

ISBN-13: 9783319288529
ISBN-10: 3319288520
Pagini: 450
Ilustrații: IX, 438 p. 213 illus., 84 illus. in color.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.8 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.
 

Caracteristici

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 Includes supplementary material: sn.pub/extras