Ozic M.U.Ozbay Y.Baykan O.K.2020-03-262020-03-2620149.78148E+12https://dx.doi.org/10.1109/SIU.2014.6830650https://hdl.handle.net/20.500.12395/313062014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053Multiple image thresholding is a popular method used to separate homogeneous subsets of gray level images. To find the optimum threshold in the image in the literature is still a research topic. Many image thresholding method uses the histogram of the image. In this study, the objective function of Otsu method which is a statistical process, Particle Swarm Optimization with an intuitive algorithm (PSO) by maximizing, the optimal threshold values on a medical image were studied to find. The values obtained were tested with a standard test image and brain magnetic resonance (MR) image exposed on the tumor region in segmentation, Otsu-PSO method performance was monitored. © 2014 IEEE.tr10.1109/SIU.2014.6830650info:eu-repo/semantics/closedAccessImage ThresholdingMROtsuPSOConference Object19992002N/A