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A hybrid edge detection mechanism based on edge preserving filtration and type-1 fuzzy logic

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Abstract

Edge detection is a phenomenon that is utilized to identify discontinuity, roughness, and boundaries in a variety of engineering and scientific problems. The edge detection phenomenon is dependent on image  quality  measures  such as blur, noise, and edge strength, and making it difficult to identify and detect proper edges. Traditional edge detection algorithms are based on pixel gradients and have number of flaws, including false edge acceptance and rejection. To deal these issues in this paper, an edge detection method based on edge preserving guided filtering along with fuzzy logic is presented. Edge preserving guided filtering preserves edges and smoothened background while fuzzy logic is used for edge detection. In this work type-1, fuzzy logic is considered. The presented methods are based on soft computing or holistic approaches, which are computationally intensive, and edge detection accuracy is dependent on the learning strategy, fitness function, and precise tweaking of learning parameters.

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Authors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, India

    Rakesh Ranjan & Vinay Avasthi

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  1. Rakesh Ranjan
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  2. Vinay Avasthi
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Correspondence to Rakesh Ranjan.

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Ranjan, R., Avasthi, V. A hybrid edge detection mechanism based on edge preserving filtration and type-1 fuzzy logic. Int. j. inf. tecnol. 14, 2991–3000 (2022). https://doi.org/10.1007/s41870-022-01059-9

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  • DOI: https://doi.org/10.1007/s41870-022-01059-9

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