Edge detection based on augmented lagrangian method for lowquality medical images

Vo Thi Hong Tuyet ()
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Vo Thi Hong Tuyet: Ho Chi Minh City Open University, Vietnam

HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ENGINEERING AND TECHNOLOGY, 2018, vol. 8, issue 1, 106-115

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

Keywords: augmented lagrangian method; canny; edge detection (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:bjw:techen:v:8:y:2018:i:1:p:106-115

DOI: 10.46223/HCMCOUJS.tech.en.8.1.910.2018

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