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Image segmentation based upon topological operators: real-time implementation case study

Abstract : In miscellaneous applications of image treatment, thinning and crest restoring present a lot of interests. Recommended algorithms for these procedures are those able to act directly over grayscales images while preserving topology. But their strong consummation in term of time remains the major disadvantage in their choice. In this paper we present an efficient hardware implementation on RISC processor of two powerful algorithms of thinning and crest restoring developed by our team. Proposed implementation enhances execution time. A chain of segmentation applied to medical imaging will serve as a concrete example to illustrate the improvements brought thanks to the optimization techniques in both algorithm and architectural levels. The particular use of the SSE instruction set relative to the X86_32 processors (PIV 3.06 GHz) will allow a best performance for real time processing: a cadency of 33 images (512*512) per second is assured.
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Ramzi Mahmoudi, Mohamed Akil. Image segmentation based upon topological operators: real-time implementation case study. Real-Time Image and Video Processing 2009, Jan 2009, San Jose, Californie, United States. ⟨10.1117/12.812121⟩. ⟨hal-01294104⟩



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