Maximum segmented-scene spatial entropy thresholding

The segmented-scene spatial entropy (SSE) is defined as the amount of information contained in the spatial structure of a segmented scene resulting from segmenting an image. An automatic, nonparametric, unsupervised thresholding algorithm that maximizes the SSE of an image is described, and this algorithm is known as the maximum segmented-scene spatial entropy (MSSE) thresholding algorithm. It is shown that the MSSE-thresholded image contains the maximum amount of information about the original scene and hence good thresholding results are warranted. Simulation and practical results are presented to illustrate the improvement in performance as compared to some other histogram-based thresholding algorithms