FPGA implementation of a modified pulse mode FCM image segmentation algorithms

This paper present a novel architecture for image segmentation. The design is based on the fuzzy c-means algorithm based gaussian function in pulse mode for reducing the large storage requirement. The proposed algorithm is tested in mammogram image segmentation approximately with 0.92 of segmentation index. The pulse mode stochastic computing technique is implemented with a simple bloc avoiding the use of conventional multipliers for sake of compactness. The whole modified FCM is implemented on a Virtex II PRO FPGA platform and synthesis results are presented.