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- W2348102013 abstract "A new method for meaningful regions segmentation in natural color image is proposed in this study.After edge detecting in term of phase congruency,long edge lines are clustered using K means algorithm based on the joint distribution of their color in image space and in color space to get meaningful seeds,while short ones are merged to eliminate the negative affection causing trivial features in images.Region growing technique is employed in color space to achieve the final segmentation results with the properly selected seeds.The proposed method overcomes the disadvantage of traditional region growing method,and applies it to color images.The meaningful segmentation results are consistent with those executed by people and have shown feasibility and effectiveness to various natural color images." @default.
- W2348102013 created "2016-06-24" @default.
- W2348102013 creator A5068626745 @default.
- W2348102013 date "2004-01-01" @default.
- W2348102013 modified "2023-09-23" @default.
- W2348102013 title "Natural Color Image Segmentation Based on Phase Congruency and Region Growing" @default.
- W2348102013 hasPublicationYear "2004" @default.
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