Evaluation and Comparison of Thresholding Segmentation Techniques
Dong Yu, Ming Jing Li, Guang Liang Cheng · Applied Mechanics and Materials · 2014
Threshold technique is one of the important techniques in image segmentation. Various thresholding segmentation techniques such as histogram, grayscale expectations, Otsu, maximum entropy and iterative are studied and compared by using Matlab 7.0. Experimental results show that the iterative method can perform well and get a better result than the other thresholding segmentation methods.