New statistical procedure for the segmentation of contiguous nonhomogeneous regions based on the Ozturk algorithm

Mohamed-Adel Slamani; Donald D. Weiner; Vincent C. Vannicola

doi:10.1117/12.253448

8 October 1996 New statistical procedure for the segmentation of contiguous nonhomogeneous regions based on the Ozturk algorithm

Mohamed-Adel Slamani, Donald D. Weiner, Vincent C. Vannicola

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Proceedings Volume 2823, Statistical and Stochastic Methods for Image Processing; (1996) https://doi.org/10.1117/12.253448
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

Using thresholding techniques it is possible to separate between contiguous non-homogeneous patches with different power levels. When the power levels of the patches are similar if not equal, the global histogram of the patches is unimodal and the thresholding approach becomes very difficult if not impossible. In this paper, we propose to use a statistical procedure to separate between contiguous non-homogeneous patches with similar power levels but different data statistics. The procedure separates different regions by distinguishing between their data probability distributions. The procedure is based on the Ozturk algorithm which uses the sample order statistics for the approximation of univariate distributions.

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Mohamed-Adel Slamani, Donald D. Weiner, and Vincent C. Vannicola "New statistical procedure for the segmentation of contiguous nonhomogeneous regions based on the Ozturk algorithm", Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); https://doi.org/10.1117/12.253448

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