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- W2364281681 abstract "The using of minimum spanning tree based on graph theory can obtain global division effect and good operating efficiency.But the number of arcs is too large,and the method through fixed global threshold doesn't adapt to all color images.This paper aims at these problems,combines the minimum spanning tree method with watershed algorithm,firstly,transform the initial segmentations into nodes and arcs of graph,then merge them through minimum spanning tree.By analyzing the local changes of the regions characteristics,adaptive local thresholds are derived.The experiment indicates that,the minimum spanning tree method based on adaptive local thresholds is better than the minimum spanning tree based on global threshold." @default.
- W2364281681 created "2016-06-24" @default.
- W2364281681 creator A5037575655 @default.
- W2364281681 date "2010-01-01" @default.
- W2364281681 modified "2023-09-23" @default.
- W2364281681 title "Color Image Segmentation Based on Adaptive Local Thresholds" @default.
- W2364281681 hasPublicationYear "2010" @default.
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