In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Technology of Graphic & Image
|
2228-2231

New approach to segment retinal vessel using morphology and Otsu

Wang Weihua1,2,3
Zhang Jingzhong1
Wu Wenyuan1
1. Chongqing Key Laboratory of Automated Reasoning & Cognition, Chongqing Institute of Green & Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
2. School of Computer & Control Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
3. School of Software Engineering, Chongqing University of Arts & Sciences, Chongqing 402160, China

Abstract

To enhance the image with imbalanced local illumination caused by retinal diseases in the process of fundus image acquisition, this paper proposed a new unsupervised retinal vessel segmentation method with morphological and Otsu. First, it used the combine of the top-hat transformation and the bottom-hat transformation to enhance the contrast between the blood vessels and its background in a retinal image. Next, it presented a novel revised method to remove the problem, which was caused by the imbalanced local illumination in the enhanced retinal image. Finally, it applied the threshold calculated by Otsu method to extract the retinal vessels. This paper evaluated the algorithm with two publicly retinal image databases DRIVE and STARE. The experiment results indicate that the segmentation accuracy in DRIVE database achieves 0.938 2, the segmentation accuracy in the STARE database achieves 0.946 0. The run time of this new method is 1.6 s. The new algorithm can accurately extract the retinal vessels. Compared with the traditional retinal vessel segmentation algorithm, its segmentation accuracy and anti-perturbation ability improve.

Foundation Support

国家自然科学基金资助项目(11501540,11471307)
中国科学院西部之光基金资助项目
重庆市教委科技项目(KJ1501120,KJ1401118)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0122
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Technology of Graphic & Image
Pages: 2228-2231
Serial Number: 1001-3695(2019)07-065-2228-04

Publish History

[2019-07-05] Printed Article

Cite This Article

汪维华, 张景中, 吴文渊. 改进的形态学与Otsu相结合的视网膜血管分割 [J]. 计算机应用研究, 2019, 36 (7): 2228-2231. (Wang Weihua, Zhang Jingzhong, Wu Wenyuan. New approach to segment retinal vessel using morphology and Otsu [J]. Application Research of Computers, 2019, 36 (7): 2228-2231. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)