{"title":"A bio-inspired method for segmenting the optic disc and macula in retinal images","authors":"Ahmad Taher Azar","doi":"10.1504/ijcat.2023.133882","DOIUrl":null,"url":null,"abstract":"In this paper, Ant Colony System (ACS) based segmentation method is proposed and its features are used for segmenting the optic disc and macula in the retinal images. The suggested ACS-based segmentation approach employs intensity (gray-level) and colour as distinct characteristics to localise and segment the optic disc and macula in the retinal images. The evaluation and assessment of the performance of this nature-inspired approach for automatically separating blood vessels in retinal images by computer on standard retinal image databases revealed that it obtained the best separation of pixels that only belong to a blood vessel above all previous findings. The degree of accuracy of the proposed methodology approaches the best levels of accuracy achieved by techniques using supervised pixel classification algorithms.","PeriodicalId":46624,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":1.2000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"INTERNATIONAL JOURNAL OF COMPUTER APPLICATIONS IN TECHNOLOGY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcat.2023.133882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, Ant Colony System (ACS) based segmentation method is proposed and its features are used for segmenting the optic disc and macula in the retinal images. The suggested ACS-based segmentation approach employs intensity (gray-level) and colour as distinct characteristics to localise and segment the optic disc and macula in the retinal images. The evaluation and assessment of the performance of this nature-inspired approach for automatically separating blood vessels in retinal images by computer on standard retinal image databases revealed that it obtained the best separation of pixels that only belong to a blood vessel above all previous findings. The degree of accuracy of the proposed methodology approaches the best levels of accuracy achieved by techniques using supervised pixel classification algorithms.
期刊介绍：
IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training. Topics covered include: -Computer applications in engineering and technology- Computer control system design- CAD/CAM, CAE, CIM and robotics- Computer applications in knowledge-based and expert systems- Computer applications in information technology and communication- Computer-integrated material processing (CIMP)- Computer-aided learning (CAL)- Computer modelling and simulation- Synthetic approach for engineering- Man-machine interface- Software engineering and management- Management techniques and methods- Human computer interaction- Real-time systems
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