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- W2348771803 abstract "In order to solve the over-segmentation problem of watershed algorithm in color image segmentation,a method based on Minimal Spanning Tree and local thresholds is proposed.Using the concept of Minimal Spanning Tree in Graph Theory, the proposed method merges the over-segmented regions produced by watershed algorithm.Unlike other methods based on Minimal Spanning Tree,the proposed method calculates a local threshold only when a complete Minimal Spanning Tree has been constructed.This local threshold is used to determine when to stop constructing Minimal Spanning Tree,and then two regions can be segmented from the original color image.The above process is repeated until all the regions have been segmented from the original image.Experiments show that the proposed method can accurately segment color images,and the segmentation results can well meet human perception." @default.
- W2348771803 created "2016-06-24" @default.
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- W2348771803 date "2008-01-01" @default.
- W2348771803 modified "2023-09-23" @default.
- W2348771803 title "A color image segmentation method based on Minimal Spanning Tree and local thresholds" @default.
- W2348771803 hasPublicationYear "2008" @default.
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