Evaluation Criterion for Threshold Segmentation Algorithms
Dong Yu, Ming Jing Li, Ying Sun · Applied Mechanics and Materials · 2014
Threshold-based segmentation algorithms are introduced and simulated. In order to evaluate the performance of various threshold segmentation algorithms, the quantitative experimental criterions are introduced and applied. And through large experiments by using MATLAB, threshold segmentation algorithms are evaluate with uniformity measure (UM), shape measure (SM) and gray-level contrast (GC). The effect of image segmentation is described by using the average value of three experimental criterions (UM, SM and GC).