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Feature Extraction and Image Processing
book

Feature Extraction and Image Processing

by Mark Nixon
October 2013
Beginner to intermediate
350 pages
13h 7m
English
Newnes
Content preview from Feature Extraction and Image Processing
Introduction to texture description, segmentation and classification 299
occurrence matrices have been reduced to only three different measures. In principle, these
measurements are again invariant to linear shift in illumination (by virtue of brightness
comparison) and to rotation (since order is of no consequence in their description and
rotation only affects co-occurrence by discretisation effects). As with Fourier, scale can
affect the structure of the co-occurrence matrix, but the description can be made scale
invariant.
entropy(CCD20)=7.052á10
5
entropy(CCD21)=5.339á10
5
entropy(CCD29)=6.445á10
5
inertia(CCD20)=5.166á10
8
inertia(CCD21)=1.528á10
9
inertia(CCD29)=1.139á10 ...
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Publisher Resources

ISBN: 9780080506258