International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

ISSN: 2319-7064



Research Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014

A New Method for Noisy Image Segmentation using Firefly Algorithm

Bhavana Vishwakarma, Amit Yerpude

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


How to Cite this Article?

Bhavana Vishwakarma, Amit Yerpude, "A New Method for Noisy Image Segmentation using Firefly Algorithm ", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=20132245, Volume 3 Issue 5, May 2014, 1721 - 1725

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