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Image Feature Detectors and Descriptors

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Cover of 'Image Feature Detectors and Descriptors'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Detection and Description of Image Features: An Introduction
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    Chapter 2 Image Features Detection, Description and Matching
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    Chapter 3 A Review of Image Interest Point Detectors: From Algorithms to FPGA Hardware Implementations
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    Chapter 4 Image Features Extraction, Selection and Fusion for Computer Vision
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    Chapter 5 Image Feature Extraction Acceleration
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    Chapter 6 Satellite Image Matching and Registration: A Comparative Study Using Invariant Local Features
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    Chapter 7 Redundancy Elimination in Video Summarization
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    Chapter 8 A Real Time Dactylology Based Feature Extractrion for Selective Image Encryption and Artificial Neural Network
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    Chapter 9 Spectral Reflectance Images and Applications
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    Chapter 10 Image Segmentation Using an Evolutionary Method Based on Allostatic Mechanisms
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    Chapter 11 Image Analysis and Coding Based on Ordinal Data Representation
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    Chapter 12 Intelligent Detection of Foveal Zone from Colored Fundus Images of Human Retina Through a Robust Combination of Fuzzy-Logic and Active Contour Model
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    Chapter 13 Registration of Digital Terrain Images Using Nondegenerate Singular Points
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    Chapter 14 Visual Speech Recognition with Selected Boundary Descriptors
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    Chapter 15 Application of Texture Features for Classification of Primary Benign and Primary Malignant Focal Liver Lesions
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    Chapter 16 Application of Statistical Texture Features for Breast Tissue Density Classification
Attention for Chapter 2: Image Features Detection, Description and Matching
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Mentioned by

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2 patents

Citations

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92 Dimensions

Readers on

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198 Mendeley
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Chapter title
Image Features Detection, Description and Matching
Chapter number 2
Book title
Image Feature Detectors and Descriptors
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-28854-3_2
Book ISBNs
978-3-31-928852-9, 978-3-31-928854-3
Authors

M. Hassaballah, Aly Amin Abdelmgeid, Hammam A. Alshazly, Hassaballah, M., Abdelmgeid, Aly Amin, Alshazly, Hammam A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 <1%
Unknown 197 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 21%
Student > Ph. D. Student 36 18%
Student > Bachelor 15 8%
Researcher 14 7%
Student > Doctoral Student 10 5%
Other 31 16%
Unknown 51 26%
Readers by discipline Count As %
Computer Science 75 38%
Engineering 44 22%
Unspecified 3 2%
Social Sciences 2 1%
Design 2 1%
Other 9 5%
Unknown 63 32%