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Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig

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CHAPTER 3

image

Global and Regional Features

Measure twice, cut once.

—Carpenter’s saying

This chapter covers the metrics of general feature description, often used for whole images and image regions, including textural, statistical, model based, and basis space methods. Texture, a key metric, is a well-known topic within image processing, and it is commonly divided into structural and statistical methods. Structural methods look for features such as edges and shapes, while statistical methods are concerned with pixel value relationships and statistical moments. Methods for modeling image texture also exist, primarily useful for image synthesis rather ...

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