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Edge Detection Using Fuzzy Logic (Fuzzy Sobel, Fuzzy Template, and Fuzzy Inference System)

  • Rachita Katoch
  • Rosepreet Kaur Bhogal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)

Abstract

Prime edges in a digital image contain useful information that can be utilized in the processing of digital images. Edges of an image can be applied in disjointing of images, finding objects in images, for image registration, etc. Edge detectors are the tools that find out all the edge pixels that are present in a digital image. Edges are the points in an image where the intensity level changes very sharply from one pixel to other pixel. In this research paper, edge detection using three different methods of fuzzy logic has been done. The three different methods of fuzzy logic for edge detection are Sobel fuzzy edge detector, template fuzzy edge detector and fuzzy inference system. A comparison has been made among these three methods at different values of threshold. The result shows that the fuzzy inference method gives more good results than other two methods under all outlines.

Keywords

Edge detection Sobel Template Fuzzy inference system Threshold 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Electronics and Electrical EngineeringLovely Professional UniversityJalandharIndia

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