The extraction methods of present digital camouflage texture are lack of subjective visual perception. With the poor effect and quality of extraction, a novel extraction arithmetic for digital camouflage texture image based on human visual perception and isoperimetric theory is presented. The proposed method first utilizes characteristics of human visual perception to build constructor of edge weight, then uses isoperimetric ratio in isoperimetric theory based on human visual perception as a criterion to determine the optimal threshold from the candidates. Experimental results on a series of natural texture images show that authors’ method outperforms several existing classic thresholding methods in segmentation quality.