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- W2591423336 abstract "This article suggests an algorithm of image segmentation based on the community detection in graphs. The image is represented as a non-oriented weighted graph on which the community detection is carried out. Each pixel of the image is associated with a graph vertex. Only adjacent pixels are connected by edges. The weight of the edge is defined by subtracting the intensities of three color components of pixels. A Newman modularity function is used to check the quality of the graph partition into sub-graphs. It is suggested that a greedy algorithm should be applied to solving the image segmentation problem. Each community corresponds to a segment in the image. A computer experiment was carried out. The influence of the algorithm parameter to the segmentation results was revealed. The proposed algorithm was shown to be insensitive to random impulse noise." @default.
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- W2591423336 date "2016-01-01" @default.
- W2591423336 modified "2023-09-25" @default.
- W2591423336 title "An algorithm of image segmentation based on community detection in graphs" @default.
- W2591423336 doi "https://doi.org/10.18287/2412-6179-2016-40-6-904-910" @default.
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