Edge detection based on augmented lagrangian method for low- quality medical images

Abstract

     Medical images are useful for the treatment process. They contain a lot of information on displayingabnormalities in your body. The contour of medical images is a matter of interest. In there, edge detection is aprocess prepared for boundaries. Therefore, the edge detection of medical images is very important. Other previousmethods must sacrifice time for the accurate results. It is because the medical images in the real world have manyimpurities. In this paper, I propose a method of detecting edges in medical images which have impurities by usingaugmented lagrangian method to improve the Canny algorithm. My algorithm improves the ability to detect edgesfaster. Compared with other recent methods, the proposed method is more efficient.