Ant colony optimization technique for edge detection using fuzzy triangular membership function

Ruchika Singh (), Munish Vashishath () and S. Kumar ()
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Ruchika Singh: YMCA University of Science and Technology
Munish Vashishath: YMCA University of Science and Technology
S. Kumar: YMCA University of Science & Technology

International Journal of System Assurance Engineering and Management, 2019, vol. 10, issue 1, No 7, 96 pages

Abstract: Abstract Edge recognition is one of the fastest growing image segmentation process. It is reported existing edge detection process shows low performance high time complexity, if the volume of image is enlarged. Furthermore, condition becomes more revered in the existence of gaps between the edge’s pixels. Therefore in this work one of the bio inspired technique Ant Colony Optimization based approach is used to identify edges of a ship in ocean water. To reduced time complexity triangular fuzzy member ship function is used. The results of proposed work confirm clear edges of small and partial objects.

Keywords: Image segmentation; Edge detection; Membership function (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-019-00768-y

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