A New Method for Noisy Image Segmentation using Firefly Algorithm

Bhavana Vishwakarma, Amit Yerpude

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

How to Cite?: Bhavana Vishwakarma, Amit Yerpude, "A New Method for Noisy Image Segmentation using Firefly Algorithm ", Volume 3 Issue 5, May 2014, International Journal of Science and Research (IJSR), Pages: 1721-1725, https://www.ijsr.net/getabstract.php?paperid=20132245, DOI: https://dx.doi.org/10.21275/20132245