Otsu Based Optimal Multilevel Image Thresholding Using Firefly Algorithm. (15th June 2014)

• Record Type: Journal Article
• Authors: Sri Madhava Raja, N.; Rajinikanth, V.; Latha, K.
• Other Names: Hong Jing-song Academic Editor.
• Is Part Of: Modelling and simulation in engineering. Volume 2014(2014)
• Publication Date: 2014-06-15
• Subjects: Engineering -- Simulation methods -- Periodicals; Engineering -- Mathematical models -- Periodicals; 620.004
• DOI: 10.1155/2014/794574
• Languages: English
• ISSNs: 1687-5591

Abstract

Abstract : Histogram based multilevel thresholding approach is proposed using Brownian distribution (BD) guided firefly algorithm (FA). A bounded search technique is also presented to improve the optimization accuracy with lesser search iterations. Otsu's between-class variance function is maximized to obtain optimal threshold level for gray scale images. The performances of the proposed algorithm are demonstrated by considering twelve benchmark images and are compared with the existing FA algorithms such as Lévy flight (LF) guided FA and random operator guided FA. The performance assessment comparison between the proposed and existing firefly algorithms is carried using prevailing parameters such as objective function, standard deviation, peak-to-signal ratio (PSNR), structural similarity (SSIM) index, and search time of CPU. The results show that BD guided FA provides better objective function, PSNR, and SSIM, whereas LF based FA provides faster convergence with relatively lower CPU time.