Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram

Among all segmentation techniques, Otsu thresholding method is widely used. Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images co...

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Veröffentlicht in:Journal of Central South University 2016-04, Vol.23 (4), p.880-890
1. Verfasser: 范朝冬 任柯 张英杰 易灵芝
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description Among all segmentation techniques, Otsu thresholding method is widely used. Line intercept histogram based Otsu thresholding method (LIH Otsu method) can be more resistant to Gaussian noise, highly efficient in computing time, and can be easily extended to multilevel thresholding. But when images contain salt-and-pepper noise, LIH Otsu method performs poorly. An improved LIH Otsu method (ILIH Otsu method) is presented, which can be more resistant to Gaussian noise and salt-and-pepper noise. Moreover, it can be easily extended to multilevel thresholding. In order to improve the efficiency, the optimization algorithm based on the kinetic-molecular theory (KMTOA) is used to determine the optimal thresholds. The experimental results show that ILIH Otsu method has stronger anti-noise ability than two-dimensional Otsu thresholding method (2-D Otsu method), LIH Otsu method, K-means clustering algorithm and fuzzy clustering algorithm.
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subjects Control Science and Information Engineering
Engineering
Mechanical Engineering
Metallic Materials
Otsu方法
Otsu法
优化算法
分子动理论
动力学理论
最大类间方差法
直方图
阈值分割
title Optimal multilevel thresholding based on molecular kinetic theory optimization algorithm and line intercept histogram
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