Feature extraction and image processing for computer vision [4th ed.]
By: Nixon, Mark S.
Contributor(s): Aguado, Alberto S.
Publisher: London Academic Press 2020Edition: 4th.Description: xxiv, 626p.ISBN: 9780128149768.Subject(s): Pattern recognition systems | Computer vision | Image processing -- Digital techniquesDDC classification: 006.37 | N654f4 Summary: 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.| Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books
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PK Kelkar Library, IIT Kanpur | General Stacks | 006.37 N654f4 (Browse shelf) | Available | A185224 |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: General Stacks Close shelf browser
| 006.37 N654f2 Feature extraction and image processing | 006.37 N654f2 Feature extraction and image processing | 006.37 N654f3 Feature extraction and image processing for computer vision | 006.37 N654f4 Feature extraction and image processing for computer vision [4th ed.] | 006.37 P395c Computer vision | 006.37 Sz25c Computer vision | 006.37 Sz25c2 Computer vision [2nd ed.] |
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.
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