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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 [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
Similar Articles with Keyword 'Image segmentation'
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Research Paper, Computer Science & Engineering, India, Volume 10 Issue 9, September 2021
Pages: 649 - 652Image Segmentation using Biogeography based Optimization and its Comparison with K Means Clustering
Babita Chauhan [2] | Preeti Sondhi [7]
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Research Paper, Computer Science & Engineering, India, Volume 12 Issue 11, November 2023
Pages: 232 - 238XNet: X - Ray Image Segmentation
Kannagi Rajkhowa [2] | Puran Bhat [2] | Harsh Chaudhary | Gurleen Kaur [4]