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논문검색

A Hybrid Approach to Edge Detection using Ant Colony Optimization and Fuzzy Logic

초록

영어

Edge detection aims to mark sharp intensity changes in an image and is a basis for a large number of image analysis and machine vision applications. Ant colony optimization is an evolutionary optimization algorithm which is inspired by food searching behaviour of ant species. An edge detection algorithm that combines an ant colony optimization and fuzzy logic is presented in this paper. The heuristics information for movement of ants is decided by using fuzzy logic. Experimental results are provided to demonstrate the superior performance of proposed method.

목차

Abstract
 1. Introduction
 2. Ant Colony Optimization for Edge Detection
 3. The Proposed Method
  3.1. Algorithm of the Proposed Method
 4. Experimental Results
 5. Conclusions
 References

저자정보

  • Y. Tyagi Raja Ramanna Centre for Advanced Technology
  • T. A. Puntambekar Raja Ramanna Centre for Advanced Technology
  • Preeti Sexena School of Computer Science and IT, Devi Ahilya Vishwavidyalaya, Indore, India
  • Sanjay Tanwani School of Computer Science and IT, Devi Ahilya Vishwavidyalaya, Indore, India

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