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- W2349969166 abstract "An algorithm for image segmentation based on combination of Gaussian mixture model and region growing methods is presented in this paper. Firstly, the character strings are sampled by using stroke direction operators, then their grey level histogram is matched by using Gaussian mixture model and the optimal threshold is determined, and then the Uyghur-Chinese mixed text lines are extracted by taking the sample's standard deviation as the region growing rule. This algorithm has the attractiveness of low computational load, real-time and high segmentation accuracy that not only can extract the whole target but also the background residuals are very rare, so it is good for the target recognition procedure in the next step." @default.
- W2349969166 created "2016-06-24" @default.
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- W2349969166 date "2014-01-01" @default.
- W2349969166 modified "2023-09-25" @default.
- W2349969166 title "Research on the extraction of Uyghur-Chinese mixed text lines from images with complex backgrounds" @default.
- W2349969166 hasPublicationYear "2014" @default.
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