In this study, a Fuzzy Kohonen Clustering Networks (FKCN) algorithm is proposed for image segmentation. The large image sizes are in general required for various types of imaging applications. For large amounts of data, computation of Fuzzy Kohonen Clustering Networks (FKCN) algorithm for iterative operation will take a long time. Therefore, it has been attempted to make the FKCN algorithm realistically useful for image segmentation. In this work, a proposed FKCN algorithm will keep the advantage of using this plan. But instead of using image space, a gray level function of image was used for all imaging data. A new algorithm was developed for applications of various images. Good results were taken in a short time for image segmentation.
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