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A Novel Method for Edge Detection of a Color Image with ACO algorithm in Swarm Intelligence

Publication Date : 10/07/2015

Author(s) :

Ms. Joshi A. D , Prof. J. V. Shinde.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

Edge detection is the most important task in image processing. It detects the presence and location of edges from an image having sharp changes in brightness or color intensity of an image. There are various techniques present for edge detection but the newer technique, Ant Colony Optimization is introduced here. Primarily ACO is used to detect edges of ray scale image but here an attempt is made to detect edges of color image. Using ACO feature extraction and edge pattern detection of a color image can be done. To avoid problem of over segmentation of an image which is observed in case of traditional algorithm due to static threshold value selection, the dynamic threshold value is generated with the help of an adaptive threshold histogram method.

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