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基于光度立體法的中醫(yī)舌體三維表面重建

蔡軼珩,  張琳琳,  盛楠,  張新峰,  王立娜

蔡軼珩, 張琳琳, 盛楠, 張新峰, 王立娜. 基于光度立體法的中醫(yī)舌體三維表面重建[J]. 電子與信息學(xué)報(bào), 2015, 37(11): 2564-2570. doi: 10.11999/JEIT150124
引用本文: 蔡軼珩, 張琳琳, 盛楠, 張新峰, 王立娜. 基于光度立體法的中醫(yī)舌體三維表面重建[J]. 電子與信息學(xué)報(bào), 2015, 37(11): 2564-2570. doi: 10.11999/JEIT150124
Cai Yi-heng, Zhang Lin-lin, Sheng Nan, Zhang Xin-feng, Wang Li-na. 3D Reconstruction of Tongue Surface Based on Photometric Stereo Method[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2564-2570. doi: 10.11999/JEIT150124
Citation: Cai Yi-heng, Zhang Lin-lin, Sheng Nan, Zhang Xin-feng, Wang Li-na. 3D Reconstruction of Tongue Surface Based on Photometric Stereo Method[J]. Journal of Electronics & Information Technology, 2015, 37(11): 2564-2570. doi: 10.11999/JEIT150124

基于光度立體法的中醫(yī)舌體三維表面重建

doi: 10.11999/JEIT150124 cstr: 32379.14.JEIT150124
基金項(xiàng)目: 

國(guó)家自然科學(xué)基金(61201360)

3D Reconstruction of Tongue Surface Based on Photometric Stereo Method

Funds: 

The National Natural Science Foundation of China(61201360)

  • 摘要: 在中醫(yī)舌診客觀化研究進(jìn)程中，以2維舌圖像為基礎(chǔ)進(jìn)行分析所獲得的舌體特征信息有限，制約了舌診的客觀化發(fā)展。在將光度立體法用于靜態(tài)舌模型表面3維重建的可行性研究基礎(chǔ)之上，為了對(duì)真實(shí)舌體表面進(jìn)行3維重建，該文設(shè)計(jì)一種舌體3維動(dòng)態(tài)信息采集系統(tǒng)，用于舌像采集；然后采用光度立體法依次求出舌體表面的法向量、紋理反射率和深度信息，并基于DirectX進(jìn)行3維顯示；最后針對(duì)舌體表面高光區(qū)域?qū)χ亟ńY(jié)果的影響，采用高光剔除算法剔除高光。經(jīng)高光剔除后的重建結(jié)果和原來(lái)相比，在重建精度和魯棒性等方面都有更好的表現(xiàn)。經(jīng)實(shí)驗(yàn)證實(shí)，該重建方法的平均相對(duì)誤差約為7.24%，重建結(jié)果可形象地表達(dá)舌體的表面形態(tài)和齒痕等細(xì)節(jié)信息，可輔助中醫(yī)進(jìn)行診斷。
    Abstract: 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.
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出版歷程
  • 收稿日期:  2015-01-22
  • 修回日期:  2015-07-15
  • 刊出日期:  2015-11-19

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