Name
Abstract | ||
|---|---|---|
This study used dynamic maps for skin color detection and applied a morphological closing operator to identify supplementary pixels in the image space to update the color map. Dual constraints were considered in the refinement system to prevent overestimation, which are the centroid of the skin color region in image space and dynamic range in color model space. As a result, the proposed system enables us to update the skin color map continuously. This paper presents a simple, rapid, and effective method for single skin color detection. This paper proposes skin color detection for images involving multiskin color regions (i.e., multiple human subjects of different races) by using the AdaBoost face detection mechanism. The experimental results reveal that the proposed method is highly robust for detection of diverse skin colors and simultaneous occurrences of multiskin color regions. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TETCI.2019.2892715 | IEEE Transactions on Emerging Topics in Computational Intelligence |
Keywords | DocType | Volume |
Image segmentation,morphological processing,multiskin color detection,skin color detection,skin color map | Journal | 5 |
Issue | ISSN | Citations |
2 | 2471-285X | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huang-Chia Shih | 1 | 187 | 21.98 |
| Jung-Yu Chen | 2 | 0 | 0.34 |