Abstract
In traditional Chinese medicine (TCM), tongue diagnosis is an important way of disease diagnosis. In the study of intelligent tongue diagnosis, due to various reasons, the color distortion of tongue images will affect the accuracy of tongue diagnosis results. Therefore, it is necessary to correct the color of tongue images. In this paper, a fast color correction method for tongue image based on gray world method is proposed. Firstly, the image dimension is reduced twice to remove the unnecessary information in the image which makes the image data reduced to 3.6% of the original image and reduces the operation time for the image analysis. Then, the equivalent circle method is used to detect the color deviation of the image to check the degree of color distortion. Finally, the gray world method is used to correct the color of the image. Through the experimental comparison, it is found that the method proposed in this paper can greatly reduce the data amount of the image, and effectively improve the effect of color correction.
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Xin, G., Zhu, L., Liang, H., Ding, C. (2021). A Fast Tongue Image Color Correction Method Based on Gray World Method. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2021. Lecture Notes in Computer Science(), vol 12737. Springer, Cham. https://doi.org/10.1007/978-3-030-78612-0_59
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