Efficient pipelined architecture for competitive learning
Journal of Parallel and Distributed Computing
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images
Computers in Biology and Medicine
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A method for color image segmentation using a competitive learning clustering scheme is examined, and some basic improvements are made. Two important aspects of the color image segmentation problem, namely color space selection and oversegmentation, are discussed in the context of the algorithm, with comments about suitability and effectivenessof choices for various applications. A variety of settings are tested and compared to highlight performance.