Chapter 9 Texture Metrics
If you give the scroll to someone who can read, and say, ‘Read this, please,’ they will answer, ‘I can't; it is sealed.’
—Isaiah
Overview
Texture is one of the most widely studied areas of image processing and computer vision (see [1] for an extensive survey of historical developments). Textures can be considered micro-gradients across a surface, or even macro-gradients of larger features. DNNs also rely on texture to describe a hierarchy of texture-like structures in nxn tiles of weights (see [1]). In this chapter we describe details on the three families of VGM texture metrics and the corresponding MCC classifiers:
–Volume projection texture metrics for CAM clusters
–Haralick texture metrics
–Extended SDM texture ...
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