An Improved Image Edge Feature Extraction Algorithm Based on Ant Colony Algorithm

Lin Gui

doi:10.4028/www.scientific.net/AMR.490-495.120

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 490-495An Improved Image Edge Feature Extraction...

An Improved Image Edge Feature Extraction Algorithm Based on Ant Colony Algorithm

Abstract:

In this paper, a new method for the optimization design of ant colony algorithm is used to extract the edge character of the model in the air of the image. The organization is as follows: the second part is a basic ant colony algorithm in the edge of the model feature extraction. The result of the advisory council on AIDS will be compared with the results analysis, and think this is smart operator most edge feature extraction operator. Contrast indicates that the algorithm can effectively edge feature extraction, especially the image.

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Periodical:

Advanced Materials Research (Volumes 490-495)

Pages:

120-123

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.490-495.120

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Online since:

March 2012

Authors:

Lin Gui

Keywords:

Aerial Image, Ant Colony Algorithm (ACA), Edge Feature Extraction

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