In the process of the objective research in traditional Chinese medicine tongue diagnosis, the tongue information obtained from the analysis of 2D tongue image is limited. It restricts the development of tongue diagnosis. Based on the feasibility of photometric stereo method to reconstruct the static tongue mode, for reconstructing the 3D surface of the real tongue, a dynamic information collection system is designed for image information acquisition. Then the normal vectors, texture reflectance and depth values are obtained with photometric stereo method, and the 3D surface of tongue is displayed based on DirectX. Finally, a highlight excluding algorithm is used to reduce the effects of the highlight areas on the reconstruction results. After the highlight excluding, it performs better in the reconstruction accuracy and robustness aspects. Experimental results indicate that the average relative error of this algorithm is of 7.24%. The results can express the tongue surface morphology and details such as tooth marks visually.
Chen Xue-jiao, Wang Yu-chen, and Wang De-cai. The overview of the development of traditional Chinese medicine tongue diagnosis[J]. Jiangxi Journal of Traditional and Chinese Medicine, 2012, 43(1): 72-75.
Ye Chang-ming, Jiang Jian-guo, and Zhan Shu. Face recognition in complex domain based on 3D facial imaging system[J]. Journal of Electronic Meeasurement and Instrument, 2011, 25(5): 420-426.
Wang Xin, Guo Bao-feng, and Shang Chao-xuan. 3D reconstruction of target geometry based on 2D data of inverse synthetic aperture radar images[J]. Journal of Electronics & Information Technology, 2013, 35(10): 2475-2480.
Li Zi-li, Zhu Guang-xi, and Zhu Yao-ting. A user avatar model based-on convergent binocular stereo vision[J]. Journal of Electronics & Information Technology, 2003, 25(6): 763-770.
Chen Yu-feng, Tan Wen-jing, and Wang Hai-tao. Photometric stereo 3D reconstruction and application[J]. Journal of Computer-Aided Design & Computer Graphics, 2005, 17(11): 2408-2414.
[6]
Woodham R J. Photometric method for determining surface orientation from multiple images[J]. Optical Engineering, 1980, 19(1): 191139.
[7]
Coleman E Jr and Jain R. Obtaining 3-dimensional shape of textured and specular surfaces using four-source photometry [J]. Computer Graphics and?Image Processing, 1982, 18(4): 309-328.
[8]
Lü H, Cai Y, and Guo S. 3D reconstruction of tongue surface based on photometric stereo[C]. 2007 IEEE 11th International Conference on Signal Processing (ICSP), Barcelona, Spain, 2012, 3: 1668-1671.
Zhu Mulangma, Yan Hai-xia, and Qian Peng. Study progress on designs of acquisition instrument with image capturing in tongue inspection[J]. Modernization of Traditional Chinese Medicine and Materia Medica—World Science and Technology, 2014, 16(2): 433-437.
[10]
Park J I, Lee M H, Grossberg M D, et al.. Multispectral imaging using multiplexed illumination[C]. 2007 IEEE 11th International Conference on Computer Vision, Rio De Janeiro, Brazil, 2007: 1-8.
Xu Qing-xiang. Research on 3D reconstruction of detailed features based on photometri stereo[D]. [Master dissertation], Huazhong University of Science & Technology, 2011.
[12]
张彦. 基于光度立体视觉的三维重建的研究[D]. [硕士论文], 吉林大学, 2013.
Zhang Yan. The research of three-dimensional reconstruction based on photometric stereo[D]. [Master dissertation], Jilin University, 2013.
[13]
Georghiades A S. Incorporating the torrance and sparrow model of reflectance in uncalibrated photometric stereo[C]. Ninth IEEE International Conference on Computer Vision (ICCV?2003), Nice, France, 2003: 816-823.
[14]
Barsky S and Petrou M. The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(10): 1239-1252.
Zhang Shan-shan, Lü Dong-hui, and Sun Jiu-ai. Reconstruction error analysis on photometric stereo with nearby light sources[J]. Computer Technology and Development, 2015(1): 168-172.
Zhang Yi-ling. Design and implementation of image-based modeling system based on photometric stereo[D]. [Master dissertation], Zhejiang University, 2006.
Gui Si-yi and Lin Guo-shun. DirectX-based techniques of stereo loading system’s 3D visualized auxiliary module[J]. Computer and Modernization, 2014(2): 15-19.
Xu Jia-tuo, Zhang Zhi-feng, Ren Hong-fu, et al.. Analysis of fat/thin tongue based on image processing method[C]. The Second National Integrated Traditional Chinese and Western Medicine Diagnosis of Academic Symposium, Lijiang, 2008: 43-47.
