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- W2382014209 abstract "A new algorithm of color image segmentation using clustering and hierarchical region merge is proposed.First of all,the mean shift algorithm is introduced to smooth the images while preserving the boundaries.The processed images are clustered by using the improved k-means clustering algorithm in the feature space,and then the initial regions are formed.Afterwards,the initial regions are hierarchically merged on the basis of the region distance defined by the color,space and adjacency information until the criteria of the merging termination is satisfied.The erosion and dilation operators are used to smooth the edges of segmented regions.Accoding to the simulation results,the color image segmentation results of the proposed approach are favorably consistent with the subjective visual perception of the human beings." @default.
- W2382014209 created "2016-06-24" @default.
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- W2382014209 date "2011-01-01" @default.
- W2382014209 modified "2023-09-23" @default.
- W2382014209 title "Color image segmentation algorithm using clustering and hierarchical region merge" @default.
- W2382014209 hasPublicationYear "2011" @default.
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