A gray-level threshold selection method based on maximum entropy principle

Wong, A. K. C.; Sahoo, P. K.

A description is given of a gray-level threshold selection method for image segmentation that is based on the maximum entropy principle. The optimal threshold value is determined by maximizing the a posteriori entropy subject to certain inequality constraints which are derived by means of spectral measures characterizing uniformity and the shape of the regions in the image. For this purpose, the authors use both the gray-level distribution and the spatial information of an image. The effectiveness of the method is demonstrated by its performance on some real-world images. An extension of this method to chromatic images is provided.

Year

Entry

1966

Prewitt JMS, Mendelsohn ML. The analysis of cell images. Annals NY Acad Sci. January 1966;128(3):1035-1053.

1985

Tsai W-H. Moment-preserving thresolding: a new approach. Comput Vis Graph Image Proc. 1985;29(3):377-393.

1978

Weszka JS. A survey of threshold selection techniques. Comput Graph Image Proc. 1978;7(2):259-265.

1979

Otsu N. A threshold selection method from gray-level histograms. IEEE Trans Sys Man Cyb. 1979;9(1):62-66.

1988

Sahoo PK, Soltani S, Wong AKC. A survey of thresholding techniques. Comput Vis Graph Image Proc. 1988;41(2):233-260.