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Image texture
An image texture is a set of metrics calculated in image processing designed to quantify the perceived texture of an image. Image texture gives us information about the spatial arrangement of color or intensities in an image or selected region of an image.〔Linda G. Shapiro and George C. Stockman, ''Computer Vision'', Upper Saddle River: Prentice–Hall, 2001〕
Image textures can be artificially created or found in natural scenes captured in an image. Image textures are one way that can be used to help in segmentation or classification of images. For more accurate segmentation the most useful features are spatial frequency and an average grey level. To analyze an image texture in computer graphics, there are two ways to approach the issue: Structured Approach and Statistical Approach.
==Structured Approach==
A structured approach sees an image texture as a set of primitive texels in some regular or repeated pattern. This works well when analyzing artificial textures.
To obtain a structured description a characterization of the spatial relationship of the texels is gathered by using Voronoi tessellation of the texels.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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