Feature Extraction and Image Processing for Computer Vision
Autor Mark Nixon, Alberto S. Aguadoen Limba Engleză Paperback – 25 sep 2025
- Concentrates on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
- Provides a thorough overview of available feature extraction methods, including essential background theory, shape methods, texture and deep learning
- Includes up-to-date coverage of interest point detection, feature extraction and description, and image representation (including frequency domain and color)
- Includes a good balance between providing a mathematical background and practical implementation
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 403.12 lei 5-7 săpt. | |
| ELSEVIER SCIENCE – 18 noi 2019 | 403.12 lei 5-7 săpt. | |
| Paperback (1) | 470.74 lei 5-7 săpt. | |
| ELSEVIER SCIENCE – 25 sep 2025 | 470.74 lei 5-7 săpt. |
Preț: 470.74 lei
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Specificații
ISBN-13: 9780443366864
ISBN-10: 0443366861
Pagini: 730
Dimensiuni: 191 x 235 x 38 mm
Greutate: 1.5 kg
Ediția:5
Editura: ELSEVIER SCIENCE
ISBN-10: 0443366861
Pagini: 730
Dimensiuni: 191 x 235 x 38 mm
Greutate: 1.5 kg
Ediția:5
Editura: ELSEVIER SCIENCE
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Cuprins
1. Introduction
2. Images, sampling and frequency-domain processing
3. Image processing
4. Distance, Classification and Deep Learning
5. Low-level feature extraction (including Edge Detection)
6. High-level feature extraction: Fixed shape analysis
7. High Level Feature Extraction: Deformable Shape Analysis
8. Object Description
9. Filtering/denoising and region-based analysis
10. Moving Object Detection, Description and Tracking
11. Camera Geometry Fundamentals
12. Colour Images
2. Images, sampling and frequency-domain processing
3. Image processing
4. Distance, Classification and Deep Learning
5. Low-level feature extraction (including Edge Detection)
6. High-level feature extraction: Fixed shape analysis
7. High Level Feature Extraction: Deformable Shape Analysis
8. Object Description
9. Filtering/denoising and region-based analysis
10. Moving Object Detection, Description and Tracking
11. Camera Geometry Fundamentals
12. Colour Images
Descriere
Descriere de la o altă ediție sau format:
Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained.
This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation.
- The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods
- A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning
- Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour)
- Good balance between providing a mathematical background and practical implementation
- Detailed and explanatory of algorithms in MATLAB and Python