A multilevel image thresholding approach based on crow search algorithm and Otsu method

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Shahabi Forough; Pourahangarian Fereshte; Beheshti Homayoon

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Journal: DECISIONS AND OPERATIONS RESEARCH Year:2019 | Volume:4 | Issue:1 Page(s): 33-41

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Title

A multilevel image thresholding approach based on crow search algorithm and Otsu method

Author(s)

Shahabi Forough | Pourahangarian Fereshte | Beheshti Homayoon | Issue Writer Certificate

Keywords

Image segmentation

Image thresholding

Otsu method

Crow search algorithm

Multilevel thresholding

Abstract

Image segmentation is one of the fundamental problems in the image processing, which identifies the objects and other structures in the image. One of the widely used methods for Image segmentation is Image thresholding that can separate pixels based on the specified thresholds. Otsu method calculates the thresholds to divide two or multiple classes based on between-class variance maximization and within-class variance minimization. However, increasing the number of thresholds, surging the computational time of the segmentation. To combat this drawback, the combination of Otsu and the evolutionary algorithm is usually beneficial. In this paper, we proposed a hybrid method based on employing CSA and Otsu for Multilevel thresholding. The obtained results compared with the combination of the Otsu method with three other evolutionary algorithms consisting of improved Particle Swarm Optimization (PSO), Firefly Algorithm (FA), and also the fuzzy version of FA. Our evaluation on the five benchmark images shows competitive/ improved results both in time and uniformity.

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APA: Copy

Shahabi, Forough, Pourahangarian, Fereshte, & Beheshti, Homayoon. (2019). A multilevel image thresholding approach based on crow search algorithm and Otsu method. DECISIONS AND OPERATIONS RESEARCH, 4(1 ), 33-41. SID. https://sid.ir/paper/268853/en

Vancouver: Copy

Shahabi Forough, Pourahangarian Fereshte, Beheshti Homayoon. A multilevel image thresholding approach based on crow search algorithm and Otsu method. DECISIONS AND OPERATIONS RESEARCH[Internet]. 2019;4(1 ):33-41. Available from: https://sid.ir/paper/268853/en

IEEE: Copy

Forough Shahabi, Fereshte Pourahangarian, and Homayoon Beheshti, “A multilevel image thresholding approach based on crow search algorithm and Otsu method,” DECISIONS AND OPERATIONS RESEARCH, vol. 4, no. 1 , pp. 33–41, 2019, [Online]. Available: https://sid.ir/paper/268853/en

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