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A New Method for Noisy Image Segmentation using Firefly Algorithm
Journal: International Journal of Science and Research (IJSR) (Vol.3, No. 5)Publication Date: 2014-05-15
Authors : Bhavana Vishwakarma; Amit Yerpude;
Page : 1721-1725
Keywords : Image segmentation; Image Noise; Firefly Algorithm; K-means;
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Abstract
Segmentation of noisy images is one of the most challenging problems in image analysis. In this paper, we propose a new method for image segmentation, which is able to segment all type noisy images. The performance of existing (K-means) and proposed (Firefly) algorithm was tested on three images. The experimental results prove that Firefly algorithm performs better for all types of noisy images.
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Last modified: 2014-07-03 17:53:29