A New Image Segmentation Method Based on FCM and Ant Colony Algorithm

Jue Lu; Rong Qiang  Hu

doi:10.4028/www.scientific.net/AMM.380-384.1705

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A New Image Segmentation Method Based on FCM and...

A New Image Segmentation Method Based on FCM and Ant Colony Algorithm

Abstract:

FCM method and ant colony algorithm are all traditional algorithms in image segmentation. The two algorithms can complement each other. The combination of two algorithms will improve image segmentation and speed up algorithms convergence. Tests prove new hybrid algorithm is more effective than single algorithm in image segmentation detection.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

1705-1709

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.1705

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Online since:

August 2013

Authors:

Jue Lu, Rong Qiang Hu

Keywords:

Ant Colony Algorithm (ACA), Data Mining (DM), Image Segmentation

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