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4 February 2009 Image segmentation based upon topological operators: real-time implementation case study
R. Mahmoudi, M. Akil
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Proceedings Volume 7244, Real-Time Image and Video Processing 2009; 724403 (2009) https://doi.org/10.1117/12.812121
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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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R. Mahmoudi and M. Akil "Image segmentation based upon topological operators: real-time implementation case study", Proc. SPIE 7244, Real-Time Image and Video Processing 2009, 724403 (4 February 2009); https://doi.org/10.1117/12.812121
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KEYWORDS
Image segmentation
Image processing
Optimization (mathematics)
Detection and tracking algorithms
Image processing algorithms and systems
Image compression
Image quality
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