Feature Extraction and Image Processing. Alberto S Aguado, Mark Nixon

Feature Extraction and Image Processing


Feature.Extraction.and.Image.Processing.pdf
ISBN: 0750650788,9780750650786 | 360 pages | 9 Mb


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Feature Extraction and Image Processing Alberto S Aguado, Mark Nixon
Publisher: Newnes




€�In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not. The resulting features will be subsets of the image . Experience with document image analysis is an advantage. Candidate Profile: The PhD candidate should hold a Master of Science, in the field of computer science or computer engineering, with a major in signal and image processing. Feature Extraction and Image Processing. The papers are organized in topical sections on segmentation and detection; image enhancement and reconstruction; motion analysis, optical flow, registration and tracking; surfaces and shapes; scale space and feature extraction. Perfect for the beginner, this demo illustrates simple object detection (segmentation, feature extraction), measurement, and filtering. In ideal case we should use tracker based on knowledge of nature of particular image feature extraction algorithm. In the area of pattern recognition and image processing, the FD has been used for image compression, texture segmentation, feature extraction [19, 20], and so forth. He/she should also have sound knowledge in pattern recognition (feature extraction, learning, and classification).

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