Performance Characterization of Clustering Algorithms for Colour Image Segmentation
نویسندگان
چکیده
This paper details the implementation of three traditional clustering techniques (K-Means clustering, Fuzzy CMeans clustering and Adaptive K-Means clustering) that are applied to extract the colour information that is used in the image segmentation process. The aim of this paper is to evaluate the performance of the analysed colour clustering techniques for the extraction of optimal features from colour spaces and investigate which method returns the most consistent results when applied on a large suite of mosaic images.
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