Robust Estimation of Skin Pigmentation from Facial Color Images Based on Color Constancy
| Autor: | Deng Xinyue, Hailan Kuang, Xinhua Liu, Xiaolin Ma |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
integumentary system
Color constancy Separation algorithm business.industry Computation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology 01 natural sciences Independent component analysis 010309 optics Pigment Robustness (computer science) visual_art 0103 physical sciences 0202 electrical engineering electronic engineering information engineering visual_art.visual_art_medium Preprocessor Separation method 020201 artificial intelligence & image processing sense organs Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | 2018 10th International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). |
| Popis: | pigment separation algorithms based on independent component analysis (ICA) have been proposed. Their key limitation lies in not only the lack of robust estimation of skin pigmentation, melanin and hemoglobin, under different illumination, but also the inefficiency of the algorithm. In this paper, we propose a new method for estimating the concentration of skin pigmentation, combining with the known color constancy algorithm which is applied to the skin image as the preprocessing to remove the color interference from illumination. And as an improvement of the conventional pigment separation algorithm, we propose a new verification rule of pure color intensities matrix, discarding the complex computations of distinguishing the vectors of the pure color intensities matrix which correspond to melanin and hemoglobin components. Finally, we qualitatively evaluate the concentration distribution corresponding to melanin and hemoglobin, and compare the results of before and after using the color constancy algorithm. The experiments show that our algorithm obtains comparable results as the state-of-the-art pigment separation methods with the merit of higher efficiency and robustness against change in illumination. |
| Databáze: | OpenAIRE |
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