Modified Fuzzy C-Means Clustering Algorithm for Real-Time Applications
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The fuzzy approach in image processing is taking each day greater importance. It is greatly due to the fact that every new application of artificial vision is closer to human vision. This means that tightly knot algorithms are not always a good solution and a more "imprecise" and fuzzy approach is desirable. This paper describes a modified Fuzzy C-Means algorithm intended to be implemented in hardware. The original algorithm was modified to match the desired level of parallelism, speed and to simplify the hardware implementations.
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