An Efficient Clustering Algorithm for Image Segmentation
E. Fathima · 2014
Gray-level clustering is an important procedure inimage processing, which reduces the gray-level of an image. Inorder to display an image with high gray level in a screen withlower gray level, a good gray-level clustering algorithm isnecessary to complete this job. Based on the mean value andstandard deviation of histogram within a sub-interval, a novelrecursive algorithm for solving the gray-level reduction isproposed in this paper. It divides the sub-interval recursivelyuntil the difference between original image and clusteredimage within a given threshold. Experiments are carried outfor some samples with high gray level to demonstrate thecomputational advantage of the proposed method.