METHODS AND ALGORITHMS FOR IMAGE SEGMENTATION
2020 ◽
Vol 2020
(2)
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pp. 11-16
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This study aim to find the optimal segmentation method for detecting brain tumors. For this purpose, the main methods from each group were selected: from stochastic-the method of cluster analysis of k-means, from structural-morphological, from mixed – region growing. The study was based on medical images of the brain, the sample includes 10 images. After segmenting the images, you need to find the best result. The result must be justified. As a result of the research, the method of region growing proved to be an effective method. The accuracy of the method is proved by statistical and variance analyses. The segmentation accuracy of the region growing is 89 %.
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2019 ◽
Vol 2019
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pp. 1-10
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2013 ◽
Vol 760-762
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pp. 1552-1555
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2020 ◽
Vol 10
(2)
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pp. 515-521
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