Abstract

This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on Inter-class variance of the clusters to be merged and the Intra-class variance of the new merged cluster. Experiments on practical images illustrate the effectiveness of the new method.

Keywords

Image thresholding, Clustering, Inter-class variance, Intra-class variance