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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014 | Rating: 6.7 / 10
A New Method for Noisy Image Segmentation using Firefly Algorithm
Bhavana Vishwakarma | Amit Yerpude [3]
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.
Keywords: Image segmentation, Image Noise, Firefly Algorithm, K-means
Edition: Volume 3 Issue 5, May 2014,
Pages: 1721 - 1725