Edge Detection on an Image Using Ant Colony Optimization

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 381)

Abstract

The edge detection is a primary technique in image processing which gives the form of the object in an image. The absolute result of edge detection method can build the boundary of the object and also the curves of the surfaces, and in image segmentation registration and object detection, edge detection method is used. There are many approval methods for edge detection, such as model-based approach, first-order derivation of edge detection, second-order derivation of edge detection, and Canny edge detection. In existing system, we used Canny method while detecting the edge of an image, and when we are using there are some defaults like noise sensitivity. To get a better result of edge detection method, we are going to propose an optimization algorithm named Ant colony optimization algorithm.

Keywords

Image processing Edge detection method Canny method Ant colony optimization 

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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringAnil Neerukonda Institute of Technology and SciencesVisakhapatnamIndia

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