Adaptive Fuzzy Clustering Algorithm for Segmentation of Biomedical Colour Images
نویسندگان
چکیده
In this paper, we describe the application of an adaptive fuzzy clustering algorithm to the segmentation of colour biomedical images. In comparison to traditional colour image segmentation algorithms, the advantage of this algorithm is intelligent location of a range of chosen colours (ROC) based on a manually selected reference colour. The colours within the ROC have similar colour properties in terms of hue, saturation and intensity. The size of colour range is based on an adaptive Lagrange parameter λ. Experimental results prove that this adaptive fuzzy clustering algorithm gives better segmentation results than non-adaptive fuzzy clustering algorithms.
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