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- W2108976589 abstract "Texture segmentation is a difficult problem, as is apparentfrom camouflage pictures. A Textured region can containtexture elements of various sizes, each of which can itselfbe textured. We approach this problem using a bottom-upaggregation framework that combines structural characteristicsof texture elements with filter responses. Our processadaptively identifies the shape of texture elements and characterizethem by their size, aspect ratio, orientation, brightness,etc., and then uses various statistics of these propertiesto distinguish between different textures. At the sametime our process uses the statistics of filter responses tocharacterize textures. In our process the shape measuresand the filter responses crosstalk extensively. In addition,a top-down cleaning process is applied to avoid mixing thestatistics of neighboring segments. We tested our algorithmon real images and demonstrate that it can accurately segmentregions that contain challenging textures." @default.
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- W2108976589 date "2003-10-13" @default.
- W2108976589 modified "2023-09-22" @default.
- W2108976589 title "Texture Segmentation by Multiscale Aggregation of Filter Responses and Shape Elements" @default.
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