Multi-thresholds selection based on curvature segmentation method
Xiao-Chuan Qu · Journal of Xi'an University of Science and Technology · 2010
Curvature segmentation method is a multi-threshold selection method through searching peak-valley based on histogram cumulative distribution function.However,the method is required to select parameters to compose curvature function,and the shape of curvature curve is effected according to parameters.Therefore,detection of peak-valley is effected by parameters.We propose a maximum entropy-based method to select optimal curvature parameters,and a multi-thresholding method based on the selected parameters.The effectiveness of the proposed methods is demonstrated by multi-thresholding experiments on various images and comparison with other conventional thresholding methods based on histogram.