Image Edge Feature Extraction and Refining Based on Genetic-Ant Colony Algorithm
Abstract: Edge is composed by
a collection of its nearby pixels which has a step change or changes in roof, an
image is an information system and most of its information comes from the
edges. This paper gives a brief overview of the status and the importance of
image edge detection and introduces the researchstatus of the image edge
detection. After that, it introduces the basic principle and the main steps of
the genetic algorithm and ant colony algorithm. On the basis of these, the
paper proposed a new hybrid algorithm for the image edge extraction and refining,
which combined the genetic algorithm and ant colony algorithm. Through the
analysis of the time-speed graph of the genetic algorithm and the ant colony algorithm,
we can find the best fusion point between the genetic algorithm and the ant
colony algorithm. The experiment indicated the proposed hybrid algorithm can
make the full use of the image information, the simulation time is shorter, the
image edge is more continuous, and preserved the outline of original image more
completely.
Author: Xing Zhang, Shuai Liu
Journal Code: jptkomputergg150057
