A new image thresholding method based on isoperimetric ratios

This paper presents a new thresholding method based on isoperimetric theory for image segmentation. The proposed method uses isoperimetric ratio as a criterion in selecting optimal segmenting threshold, that is, segmenting image with the gray value of minimal isoperimetric ratio as optimal threshold. Experiments show that this method outperforms normalized cut thresholding method in terms of segmentation quality, speed and noise immunity.