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Image Feature Detectors and Descriptors

Foundations and Applications

  • Book
  • © 2016

Overview

Editors:
  1. Ali Ismail Awad

    1. Department of Computer Science, Luleå University of Technology, Luleå, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Mahmoud Hassaballah

    1. Image and Video Processing Lab, Faculty, South Valley University, Qena, Egypt

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • 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

Part of the book series: Studies in Computational Intelligence (SCI, volume 630)

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Table of contents (16 chapters)

  1. Front Matter

    Pages i-ix
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  2. Detection and Description of Image Features: An Introduction

    • M. Hassaballah, Ali Ismail Awad
    Pages 1-8

  3. Foundations of Image Feature Detectors and Descriptors

    1. Front Matter

      Pages 9-9
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    2. Image Features Detection, Description and Matching

      • M. Hassaballah, Aly Amin Abdelmgeid, Hammam A. Alshazly
      Pages 11-45

    3. A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations

      • Cesar Torres-Huitzil
      Pages 47-74

    4. Image Features Extraction, Selection and Fusion for Computer Vision

      • Anca Apatean, Alexandrina Rogozan, Abdelaziz Bensrhair
      Pages 75-107

    5. Image Feature Extraction Acceleration

      • Jorge Fernández-Berni, Manuel Suárez, Ricardo Carmona-Galán, Víctor M. Brea, Rocío del Río, Diego Cabello et al.
      Pages 109-132

  4. Applications of Image Feature Detectors and Descriptors

    1. Front Matter

      Pages 133-133
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    2. Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Features

      • Mohamed Tahoun, Abd El Rahman Shabayek, Hamed Nassar, Marcello M. Giovenco, Ralf Reulke, Eid Emary et al.
      Pages 135-171

    3. Redundancy Elimination in Video Summarization

      • Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty
      Pages 173-202

    4. A Real Time Dactylology Based Feature Extractrion for Selective Image Encryption and Artificial Neural Network

      • Sirshendu Hore, Tanmay Bhattacharya, Nilanjan Dey, Aboul Ella Hassanien, Ayan Banerjee, S. R. Bhadra Chaudhuri
      Pages 203-226

    5. Spectral Reflectance Images and Applications

      • Abdelhameed Ibrahim, Takahiko Horiuchi, Shoji Tominaga, Aboul Ella Hassanien
      Pages 227-254

    6. Image Segmentation Using an Evolutionary Method Based on Allostatic Mechanisms

      • Valentín Osuna-Enciso, Virgilio Zúñiga, Diego Oliva, Erik Cuevas, Humberto Sossa
      Pages 255-279

    7. Image Analysis and Coding Based on Ordinal Data Representation

      • Simina Emerich, Eugen Lupu, Bogdan Belean, Septimiu Crisan
      Pages 281-303

    8. Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina Through a Robust Combination of Fuzzy-Logic and Active Contour Model

      • Rezwanur Rahman, S. M. Raiyan Kabir, Anita Quadir
      Pages 305-344

    9. Registration of Digital Terrain Images Using Nondegenerate Singular Points

      • A. Ben Hamza
      Pages 345-366

    10. Visual Speech Recognition with Selected Boundary Descriptors

      • Preety Singh, Vijay Laxmi, Manoj Singh Gaur
      Pages 367-383

    11. Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions

      • Nimisha Manth, Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal
      Pages 385-409

    12. Application of Statistical Texture Features for Breast Tissue Density Classification

      • Kriti, Jitendra Virmani, Shruti Thakur
      Pages 411-435

  5. Back Matter

    Pages 437-438
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Computer Science, Luleå University of Technology, Luleå, Sweden

    Ali Ismail Awad

  • Image and Video Processing Lab, Faculty, South Valley University, Qena, Egypt

    Mahmoud Hassaballah

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