Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10359585 | Image and Vision Computing | 2005 | 10 Pages |
Abstract
In this paper, we present an automatic seeded region growing algorithm for color image segmentation. First, the input RGB color image is transformed into YCbCr color space. Second, the initial seeds are automatically selected. Third, the color image is segmented into regions where each region corresponds to a seed. Finally, region-merging is used to merge similar or small regions. Experimental results show that our algorithm can produce good results as favorably compared to some existing algorithms.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Frank Y. Shih, Shouxian Cheng,