Color-based digital image processing (DIP) techniques have attracted much attention in many vision-based applications. However, due to color variations resulting from illumination changes, many color-based DIP techniques have yet to demonstrate a stable state of performance. Skin-color detection, which is one of the popular color-based DIP techniques, must overcome the illumination problems. We address the issue by presenting an illumination-invariant color space based on the image acquisition model that is determined by the Lambertian surface. Furthermore, we propose a method of skin-color detection based on the illumination-invariant color space. To evaluate the performance in terms of the illumination-invariant property, we perform a skin-color detection experiment. In the experiment, we compare the proposed method with the methods based on several color spaces. From the experiment, we achieve encouraging results, and our empirical experiments evidence both the effectiveness and the usefulness of the proposed method.
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea through the Biometric Engineering Research Center at Yonsei University. [Grant No. R112002105070030 (2010)]. This work was also supported by a National Research Foundation of Korea grant funded by the Korean government (MEST) (Grant No. 2010-0013842).
All Science Journal Classification (ASJC) codes
- Atomic and Molecular Physics, and Optics