Feature extraction for compact representation of image data in computer vision
The experimental results are analyzed in terms of segmentation efficiency for pre-processing and distance measure for feature extraction techniques. The convergence rate of these approaches is also discussed in this work.
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Experimental results show promising results for the proposed approaches. Unable to display preview.
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Image Pre-processing and Feature Extraction Techniques for Magnetic Resonance Brain Image Analysis
Nicu, S. In: 15th International Conference on Pattern Recognition, vol.
Yongxin, Z. Marianne, M. Bo, Z. Jaya, J. Marcel, P. Rajeev, R.
Nixon ,. Alberto S.
From Color Histograms to VP-Trees
Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab.
As one reviewer noted, "The main strength of the proposed book is the exemplar code of the algorithms. Coverage of distance measures, feature detectors, wavelets, level sets and texture tutorials has been extended. Named a Notable Computer Book for Computing Methodologies by Computing Reviews Essential reading for engineers and students working in this cutting-edge field Ideal module text and background reference for courses in image processing and computer vision The only currently available text to concentrate on feature extraction with working implementation and worked through derivation Get A Copy.
Paperback , pages. Published October 9th by Academic Press first published January 22nd More Details Other Editions 5.
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Feature Extraction Definition | DeepAI
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