Retinal vessel segmentation with Slime-Mould-Optimization based Multi-Scale-Matched-Filter

Seifedine Kadry, Venkatesan Rajinikanth, Robertas Damasevicius, David Taniar

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

15 Citations (Scopus)


Even though a number of sensory organs are existing, eye plays a necessary role in the sensory system; which converts the incident light into meaningful visual information. If any abnormality arises in eye, then the whole sensory system gets stressed. The disease in eye is due to injury, infection and ageing and the untreated eye disease will lead to vision loss. The proposed research aims to propose a Computer-Aided-Procedure (CAP) to extract the blood-vessel section from Digital-Fundus-Image (DFI). In order to accomplish this task, a Multi-Scale-Matched-Filter (MSMF) is designed using the Slime-Mould-Optimization algorithm. In this work, the necessary test images are collected from the benchmark DRIVE and CHASE_DB1 dataset. After extracting the blood-vessel using the MSMF, an examination among extracted vessel and the Ground-Truth (GT) image is executed and the Image-Performance-Values are separately computed for each database. The attained result with this CAP confirms that the attained Jaccard, Dice and Accuracy of proposed approach is better compared to similar existing approaches in the literature.

Original languageEnglish
Title of host publicationProceedings of 2021 IEEE Seventh International Conference on Bio Signals, Images and Instrumentation
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Electronic)9781665441261
ISBN (Print)9781665431002
Publication statusPublished - 2021
EventIEEE International Conference on Bio Signals, Images and Instrumentation 2021 - Chennai, India
Duration: 25 Mar 202127 Mar 2021
Conference number: 7th (Proceedings)


ConferenceIEEE International Conference on Bio Signals, Images and Instrumentation 2021
Abbreviated titleICBSII 2021
Internet address


  • Blood-vessel
  • Fundus image
  • Multi-Scale-Matched-Filter
  • Slime-Mould-Optimization
  • Validation

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