Image Thresholding Using Parzen Window Estimation and Tsallis Entropy

Abstract:

Image segmentation is an important problem of digital image processing and also a common difficult problem. In this paper, a new image thresholding method based on parzen-window estimation and Tsallis entropy is proposed. The method used Parzen-window technology to estimate the spatial probability distribution of image gray level values，then combined with the Tsallis entropy to construct a new criterion function, and at last searched the optimal global threshold in the scope of gray level to maximum the criterion function. This new method has some advantages, such as high accuracy to image segmentation, fine stability comparing with the traditional Tsallis entropy method.

• Periodical: Applied Mechanics and Materials (Volumes 198-199)
• Pages: 277-283
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.198-199.277
• Online since: September 2012
• Authors: Fu Song Xiong
• Keywords: Entropy, Global Threshold, Image Segmentation, Parzen-Window, Threshold Function

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