A Comparative Study of Different Texture Segmentation Techniques
Image segmentation techniques are very useful in the analysis of aerial images, biomedical images and seismic images as well as in the automation of industrial applications. The paper presents a few texture-specific features for the segmentation of texture images. We will present four approaches to texture segmentation, viz, descriptor based, heuristic function based, defuzzified feature based and Mask feature based. We have mainly used FCM for texture segmentation.
KeywordsTexture segmentation entropy descriptors texture energy measure defuzzified feature
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