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- W2370973782 abstract "In order to improve accuracy of image segmentation and reduce the effect of noise on the cutting edge of image segmentation as much as possible,a new image segmentation method based on the model of the snowfall was proposed,Firstly,snowfall model and snow surface effect were analyzed in detail,the snow model was applied to image segmentation with strong adaptability,and then mixed the traditional random walk image segmentation algorithm with adaptive snow model characteristics to generate a new algorithm,finally made performance simulation using virtual and real images algorithm,the results showed the image segmentation performance is better than the common NCut and the traditional random walk algorithm for image segmentation,and it had certain research value." @default.
- W2370973782 created "2016-06-24" @default.
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- W2370973782 date "2014-01-01" @default.
- W2370973782 modified "2023-09-25" @default.
- W2370973782 title "An Improved Model of Snowfall Image Segmentation Method Based on the Random Walk" @default.
- W2370973782 hasPublicationYear "2014" @default.
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