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Image Analysis and Modeling in Ophthalmology
book

Image Analysis and Modeling in Ophthalmology

by Eddie K. Ng, U. Rajendra Acharya, Jasjit S. Suri, Aurelio Campilho
February 2014
Intermediate to advanced content levelIntermediate to advanced
409 pages
16h 38m
English
CRC Press
Content preview from Image Analysis and Modeling in Ophthalmology
308 Image Analysis and Modeling in Ophthalmology
Analyzing the texture in the Lab color space entails transforming the input image from
RGB to Lab. Next, texture features are extracted from each component separately, generat-
ing three descriptors per image that correspond to the L, a, and b components. The nal
feature vector is created by their concatenation.
16.5.3.2 RGB Color Space: Opponent Colors
The RGB color space [32] (RGB) is an additive color space dened by three chromacities:
red, blue, and green. It is one of the most commonly used color spaces for image process-
ing. However, it is not perceptually uniform and, for this reason, the opponent process
theory of human color vision, proposed by Hering [33] in the 1800s, is used in Ra ...
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Publisher Resources

ISBN: 9781466559387