Image segmentation by histogram thresholding

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.