• Rekha chaturvedi
• Abhay Sharma

Image thresholding is a very effective and popular technique for Image segmentation. Other conventional methods are very time exhaustive and take large amount of time. In this paper we have proposed a new method based on firefly algorithm and fuzzy entropy as objective function.Firefly algorithm is one of the best algorithm to solve optimization problem in various applicable fields because of its prodigious conversion rate and reduced computational time. Firefly algorithm is applied to optimize both parameter incorporated with maximum fuzzy entropy as objective function and computational time. Proposed method is very efficient and less time consuming as compared to other method. Experiment result shows that this method gives more accurate and stable results.

Image thresholding, Histogram, optimization technique, Firefly Algorithm, Fuzzy Entropy.

"Multilevel Image thresholding using Fuzzy Entropy and firefly algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.170-175, June-2018, Available :http://www.jetir.org/papers/JETIR1806147.pdf

"Multilevel Image thresholding using Fuzzy Entropy and firefly algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp170-175, June-2018, Available at : http://www.jetir.org/papers/JETIR1806147.pdf