Feature Extraction & Image Processing

Feature Extraction & Image Processing

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Whilst other books cover a broad range of topics, Feature Extraction and Image Processing takes one of the prime targets of applied computer vision, feature extraction, and uses it to provide an essential guide to the implementation of image processing and computer vision techniques. Acting as both a source of reference and a student text, the book explains techniques and fundamentals in a clear and concise manner and helps readers to develop working techniques, with usable code provided throughout. The new edition is updated throughout in line with developments in the field, and is revised to focus on mathematical programming in Matlab. * 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 * Companion website includes worksheets, links to free software, Matlab files and solutionsThe other spreading function is a band-pass filter, here a log-Gabor filter lg with M different scales. lg m = aŽs aŽoaŽu aŽo aŽc 0 = 0 1aˆš2 e aˆ’ ( log ( / m))2 2log2 = 0 (4.37) ... The combination of these functions provides a 2D filter l2Dg which can act at different scales and orientations. ... Even better, there is a Matlab implementation available, for application to images, allowing you to replicate its excellent results.

Title:Feature Extraction & Image Processing
Author: Mark Nixon
Publisher:Academic Press - 2008-01-08

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