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

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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.

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Authors and Affiliations

  1. Department of Electronics Engineering, YMCA University of Science and Technology, Faridabad, Haryana, India

    Ruchika Singh & Munish Vashishath

  2. Department of Mechanical Engineering, YMCA University of Science & Technology, Faridabad, India

    S. Kumar

Authors
  1. Ruchika Singh
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  2. Munish Vashishath
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  3. S. Kumar
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Correspondence to Ruchika Singh.

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Singh, R., Vashishath, M. & Kumar, S. Ant colony optimization technique for edge detection using fuzzy triangular membership function. Int J Syst Assur Eng Manag 10, 91–96 (2019). https://doi.org/10.1007/s13198-019-00768-y

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  • DOI: https://doi.org/10.1007/s13198-019-00768-y

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