An information measure-based grayscale image segmentation
Andrey G. Bronevich, O. S. Semeriy · Pattern Recognition and Image Analysis · 2006
In this paper, a segmentation method for grayscale images in the framework of the approach based on region merging is proposed. The initial segmentation is obtained by finding edges in the image and its splitting into regions of a given shape. The adopted segmentation criterion is formulated in terms of the least squares fit to the image intensity function and this can be accomplished by finding an optimal partition with respect to the introduced information measure.