In this paper

a novel thresholding method based on human visual perception and isoperimetric theory is presented. The proposed method first utilizes characteristics of human visual perception to find a gray level interval decided by candidate thresholds

then uses isoperimetric ratio in isoperimetric theory as a criterion to determine the optimal threshold from the candidates. Experimental results on a series of images including nondestructive testing ones show that authors’ method outperforms several existing classic thresholding methods in segmentation quality.