K-PLS regression model based traditional Chinese medicine tongue image color correction method

Abstract

The invention discloses a K-PLS regression model based traditional Chinese medicine tongue image color correction method and belongs to the fields of computer image processing and traditional Chinese medicine inter-discipline. According to the kernel partial least square regression model based traditional Chinese medicine tongue image color correction method, tongue images in different light environments are corrected to be at unified standard so as to overcome the problem that tongue image colors are inconsistent in showing due to illumination difference of a tongue image instrument and enable a digitalized traditional Chinese medicine tongue image analysis result to be objective and accurate. By means of the K-PLS regression model based traditional Chinese medicine tongue image color correction method, the tongue image instrument is utilized to conduct shooting and acquisition on a standard color chart, then color code samples of color codes in images are selected, standard chromatic values of all colors in the color codes are used as target values to perform K-PLS regression model training so as to obtain a training model for a color code actual acquisition value and the color code standard value, the training model is used for conducting color regression model on actual tongue images shot in the shooting environments, and finally traditional Chinese medicine tongue images with corrected colors are obtained.

Description

technical field [0001] The invention belongs to the interdisciplinary field of computer image processing and traditional Chinese medicine, and designs a color correction method for tongue images in traditional Chinese medicine based on a K-PLS (Kernel Partial Least Squares) regression model. The image is calibrated to a unified standard to overcome the inconsistency of the color of the tongue image caused by the difference in illumination of the tongue imager, making the analysis results of the digital TCM tongue image more objective and accurate. Background technique [0002] Tongue diagnosis is an important content of inspection in traditional Chinese medicine "look, smell, ask, feel, four diagnosis combined with reference". For a long time, tongue diagnosis has mainly judged diseases and syndromes through the doctor's naked eye observation and experience, lacking quantitative measurement and analysis methods. In recent decades, research on the objectification of TCM, esp...

AI Technical Summary

Problems solved by technology

The reason is that changes in the lighting environment and different acquisition devices will inevitably cause color distortion in the acquired tongue images, as shown in the attached figure 1 As shown, the distortion of the color will not only make doctors make wrong judgments when observing the tongue, but also seriously affect the accuracy and objectivity of automatic analysis of tongue color and fur color.

However, due to the aging of the light source of the acquisition equipment and other reasons, color distortion is very easy to occur

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