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Books on the topic 'Image Processing and Feature Extraction'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

S, Aguado Alberto, ed. Feature extraction and image processing. Newnes, 2002.

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2

Nixon, Mark. Feature Extraction & Image Processing for Computer Vision. 3rd ed. Elsevier Science, 2012.

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3

Rand, Robert S. Texture analysis and cartographic feature extraction. U.S. Army Corps of Engineers, Engineer Topographic Laboratories, 1985.

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4

United States. National Aeronautics and Space Administration., ed. 3D feature extraction for unstructured grids. National Aeronautics and Space Administration, 1996.

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5

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. On-line object feature extraction for multispectral scene representation. School of Electrical Engineering, Purdue University ; [Washington, DC, 1988.

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6

A, Landgrebe D., and United States. National Aeronautics and Space Administration., eds. On-line object feature extraction for multispectral scene representation. School of Electrical Engineering, Purdue University ; [Washington, DC, 1988.

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7

Puig, Luis. Omnidirectional Vision Systems: Calibration, Feature Extraction and 3D Information. Springer London, 2013.

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8

Chaki, Jyotismita, and Nilanjan Dey. Image Color Feature Extraction Techniques. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5761-3.

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9

Kayargadde, Vishwakumara. Feature extraction for image quality prediction. Eindhoven University of Technology, 1995.

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10

Samantaray, Aswini Kumar, and Amol D. Rahulkar. Feature Extraction in Medical Image Retrieval. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57279-1.

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11

Hu, Li, and Zhiguo Zhang, eds. EEG Signal Processing and Feature Extraction. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9113-2.

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12

Chaki, Jyotismita, and Nilanjan Dey. Texture Feature Extraction Techniques for Image Recognition. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0853-0.

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13

Tuytelaars, Tinne. Local invariant feature detectors: A survey. Now Publishers, 2008.

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14

Li, Jian. Synthetic aperture radar target detection, feature extraction, and image formation techniques. National Aeronautics and Space Administration, 1994.

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15

United States. National Aeronautics and Space Administration., ed. Synthetic aperture radar target detection, feature extraction, and image formation techniques. National Aeronautics and Space Administration, 1994.

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16

K, Kokula Krishna Hari, and K. Saravanan, eds. Exploratory Analysis of Feature Selection Techniques in Medical Image Processing. Association of Scientists, Developers and Faculties, 2016.

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17

Lin, I.-Jong. Video object extraction and representation: Theory and applications. Kluwer Academic Publisher, 2000.

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18

Nixon, Mark. Feature Extraction and Image Processing. Elsevier Science & Technology Books, 2013.

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19

Feature Extraction and Image Processing. Elsevier, 2002. http://dx.doi.org/10.1016/c2009-0-25049-5.

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20

Nixon, Mark. Feature Extraction and Image Processing. Elsevier Science & Technology Books, 2008.

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21

Nixon, Mark, and Alberto S. Aguado. Feature Extraction & Image Processing, Second Edition. 2nd ed. Academic Press, 2007.

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22

Feature Extraction & Image Processing, Second Edition. Academic Press, 2007.

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23

Feature Extraction Image Processing For Computer Vision. Academic Press, 2012.

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24

Nixon, Mark, and Alberto Aguado. Feature Extraction and Image Processing for Computer Vision. Academic Press, 2019.

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25

Nixon, Mark, and Alberto Aguado. Feature Extraction and Image Processing for Computer Vision. Elsevier Science & Technology Books, 2019.

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26

Feature Extraction & Image Processing for Computer Vision. Elsevier, 2012. http://dx.doi.org/10.1016/c2011-0-06935-1.

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27

Feature Extraction and Image Processing for Computer Vision. Elsevier, 2020. http://dx.doi.org/10.1016/c2017-0-02153-5.

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28

Gallagher, Thomas P. Image enhancement and feature extraction of benthic macroinvertebrates. 1996.

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29

3D feature extraction for unstructured grids. National Aeronautics and Space Administration, 1996.

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30

Dey, Nilanjan, and Jyotismita Chaki. Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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31

Dey, Nilanjan, and Jyotismita Chaki. Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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32

Dey, Nilanjan, and Jyotismita Chaki. Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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33

Beginner's Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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34

Rajakumar, P. S., S. Geetha, and T. V. Ananthan. Fundamentals of Image Processing. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-80-8.

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Abstract:

"Fundamentals of Image Processing" offers a comprehensive exploration of image processing's pivotal techniques, tools, and applications. Beginning with an overview, the book systematically categorizes and explains the multifaceted steps and methodologies inherent to the digital processing of images. The text progresses from basic concepts like sampling and quantization to advanced techniques such as image restoration and feature extraction. Special emphasis is given to algorithms and models crucial to image enhancement, restoration, segmentation, and application. In the initial segments, the intricacies of digital imaging systems, pixel connectivity, color models, and file formats are dissected. Following this, image enhancement techniques, including spatial and frequency domain methods and histogram processing, are elaborated upon. The book then addresses image restoration, discussing degradation models, noise modeling, and blur, and offers insights into the compelling world of multi-resolution analysis with in-depth discussions on wavelets and image pyramids. Segmentation processes, especially edge operators, boundary detections, and thresholding techniques, are detailed in subsequent chapters. The text culminates by diving deep into the applications of image processing, exploring supervised and unsupervised learning, clustering algorithms, and various classifiers. Throughout the discourse, practical examples, real-world applications, and intuitive diagrams are integrated to facilitate an enriched learning experience. This book stands as an essential guide for both novices aiming to grasp the basics and experts looking to hone their knowledge in image processing. Keywords: Digital Imaging Systems, Image Enhancement, Image Restoration, Multi-resolution Analysis, Wavelets, Image Segmentation, Feature Extraction, SIFT, SURF, Image Classifiers, Supervised Learning, Clustering Algorithms.

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35

Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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36

Das, Rik. Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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37

Das, Rik. Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques. Taylor & Francis Group, 2020.

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38

Guerrero, J. J., and Luis Puig. Omnidirectional Vision Systems: Calibration, Feature Extraction and 3D Information. Springer London, Limited, 2013.

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39

Jähne, Bernd, Rudolf Mester, Erhardt Barth, and Hanno Scharr. Complex Motion: First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004, Revised Papers. Springer London, Limited, 2007.

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40

EEG Signal Processing and Feature Extraction. Springer Nature, 2019.

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41

Hu, Li, and Zhiguo Zhang. EEG Signal Processing and Feature Extraction. Springer Singapore Pte. Limited, 2020.

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42

Hu, Li, and Zhiguo Zhang. EEG Signal Processing and Feature Extraction. Springer, 2019.

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43

Dey, Nilanjan, and Jyotismita Chaki. Texture Feature Extraction Techniques for Image Recognition. Springer, 2019.

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44

Inverse synthetic aperture radar imaging: Principles, algorithms, and applications. Scitech Publishing, an imprint of the IET, 2014.

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45

Dey, Nilanjan, and Jyotismita Chaki. Image Color Feature Extraction Techniques: Fundamentals and Applications. Springer, 2020.

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46

Dey, Nilanjan, and Jyotismita Chaki. Image Color Feature Extraction Techniques: Fundamentals and Applications. Springer, 2020.

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47

Dey, Nilanjan, and Jyotismita Chaki. Beginner¿s Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2019.

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48

Dey, Nilanjan, and Jyotismita Chaki. Beginner�s Guide to Image Shape Feature Extraction Techniques. Taylor & Francis Group, 2021.

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49

Wai Yie Leong, ed. EEG Signal Processing: Feature extraction, selection and classification methods. Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/pbhe016e.

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50

Leong, Wai Yie. EEG Signal Processing: Feature Extraction, Selection and Classification Methods. Institution of Engineering & Technology, 2019.

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