Classical thresholding method is one of the frequently used image segmentation method

but it can not obtain good segmentation result for infrared image with low contrast and low SNR.The cumulative residual entropy is applied to the infrared image segmentation.The method seeks gray value which make the maximum cumulative residual entropy as the threshold value.Experimental results show that the maximum cumulative residual entropy is an effective infrared image segmentation method

and can get better segmentation result for infrared image than the classical thresholding method.