Name
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 YC"bC"r 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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1016/j.imavis.2005.05.015 | Image Vision Comput. |
Keywords | Field | DocType |
initial seed,region corresponds,image segmentation,color space,input rgb color image,color image processing,existing algorithm,color image,region-merging,color image segmentation,small region,seeded region growing,good result | Computer vision,Color space,Pattern recognition,Color histogram,Color balance,Image segmentation,Color depth,Region growing,Artificial intelligence,RGB color model,Mathematics,Color image | Journal |
Volume | Issue | ISSN |
23 | 10 | Image and Vision Computing |
Citations | PageRank | References |
98 | 4.37 | 24 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Frank Y. Shih | 1 | 1103 | 89.56 |
| Shouxian Cheng | 2 | 182 | 8.47 |