Texture segmentation through adaptive filtering
نویسنده
چکیده
Segmentation of images based in texture is a fundamental task in many computer vision environments. There are many objects in the real word whose main characteristic is not their mean gray level but other features related with their texture (like grain size, orientation, etc.) The existing methods for texture segmentation differ in the definition of the texture descriptors, and they range from multichannel filtering [1] to statistical modeling [2].
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