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Randriamasy S.,Gagalowicz Andre




Region-based top-down segmentation adapted to stereo matching



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abstract:

We present region based image processing algorithms participating in task sequencing for stereo vision. The algorithms described here are prior to stereo matching. Requirements in image similarity provide helpful additional knowledge for their improvemen t. We describe first a resursive region division algorithm using a thresholding method based on contrast maximization. The regions are processed in parallel and absorb their noise before being thresholded. Subsequent morphological processes improve simil arity and matching results. Additional knowledge is produced by analytical processes, and is useful for both segmentation and match control. Results are presented for a stereo pair of gray level images, see figure 1

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