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ScaleSpace Filtering based Parameters Estimation for Image Region Segmentation;|;
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<\ 4 0 2( 3( I׀ 0 2( 3( D <\ ` |0| X, t| ` ȩ0. \ ` |0 @ ` D X.;The nature of complexity of medical images makes them impossible to segment using standard techniques. Therefore the usual approaches to segment images continue to predominantly involve manual interaction. But it tediously consumes a good deal of time and efforts of the experts. Hereby a nonmanual parameters estimation which can replace the manual interaction is needed to solve the problem of redundant manual works for an image segmentation.
This paper attempts to estimate parameters for an image region segmentation using Scale Space Filtering. This attempt results in estimating the number of regions, their boundary and each representatives to be segmented 2-dimensionally and 3-dimensionally.
Using this algorithm, we may diminish the problem of wasted time and efforts for finding prerequisite segmentation parameters, and lead the relatively reasonable result of region segmentation.&HQsj&.P9[RtQs
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