Texture Analysis Based Image Segmentation
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In this document, we will employ a texture analysis-based methodology to perform image segmentation. The implementation will be developed using MATLAB, utilizing key texture analysis functions such as entropyfilt and stdfilt to achieve our objectives. The entropyfilt function calculates local entropy to measure texture randomness within image regions, while stdfilt computes local standard deviation to quantify texture variation. Through this approach, we can effectively analyze texture information within images and apply it to image segmentation tasks. This methodology enhances segmentation accuracy and performance by incorporating texture characteristics that traditional intensity-based methods often overlook. The implementation typically involves creating texture feature maps, combining multiple texture measures, and applying thresholding or clustering techniques to segment images based on their textural properties.
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