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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
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    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
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Title
Image Feature Detectors and Descriptors
Published by
Springer International Publishing, February 2016
DOI 10.1007/978-3-319-28854-3
ISBNs
978-3-31-928852-9, 978-3-31-928854-3
Editors

Awad, Ali Ismail, Hassaballah, Mahmoud

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X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 346 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Germany 1 <1%
Unknown 343 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 82 24%
Student > Ph. D. Student 76 22%
Student > Bachelor 47 14%
Researcher 35 10%
Student > Doctoral Student 12 3%
Other 40 12%
Unknown 54 16%
Readers by discipline Count As %
Computer Science 141 41%
Engineering 108 31%
Earth and Planetary Sciences 9 3%
Agricultural and Biological Sciences 6 2%
Social Sciences 3 <1%
Other 14 4%
Unknown 65 19%