基于自适应图像分割的中药光谱图像检测

利用自适应图像分割算法处理中药光谱检测中得到的中药光谱图像，通过运动检测、差分图像的自动选取及光谱曲线中心波长统计对中药图像的像素点进行分类，将中药光谱图像自动分割成不同的区域，提取中药材光谱图像不同区域的光谱信息并消除背景噪声对实验结果的影响。以中药黄连及其混合粉末为例进行实验。实验结果表明该算法能够自动准确地提取出有效区域，并分割出有效区域的光谱图像，较好地消除了噪声干扰并且没有产生无意义的区域。

Abstract

We use a segmentation arithmetic of self-adaption to deal with the spectral images of traditional Chinese medicine (TCM) obtained from TCM spectral detection. Through the motion detection, automatic selection of differential image and statistics of each spectral curve′s central-wavelength, the pixel points of TCM image are classified and the spectral image of TCM is divided into different areas automatically. Then spectral information is extracted from different areas of TCM′s spectral image and the effect of background noise on experimental result is eliminated obviously. As an example, images of Coptis chinensis and its mixed powder are processd with this arithmetic. The experimental results indicate that this arithmetic can automatically pick up effective areas in a precise way. It can better eliminate the interference from noises and would not produce any useless area.

参考文献

[1] 陈全胜, 张燕华, 万新民, 等. 基于高光谱成像技术的猪肉嫩度检测研究[J]. 光学学报, 2010, 30(9): 2602-2607.

Chen Quansheng, Zhang Yanhua, Wan Xinmi, et al.. Study on detection of pork tenderness using hyper-spectral imaging technique [J]. Acta Optica Sinica, 2010, 30(9): 2602-2607.

[2] 许洪, 王向军. 多光谱、超光谱成像技术在军事上的应用[J]. 红外与激光工程, 2007, 36(1): 13-17.

Xu Hong, Wang Xiangjun. Applications of multispectral hyper-spectral imaging technologies in military [J]. Infrared and Laser Engineering, 2007, 36(1): 13-17.

[3] 吴航行, 华建文, 王模昌. 新型红外空间遥感用傅里叶变换光谱仪[J]. 红外与激光工程, 2004, 33(4): 397-400.

Wu Hangxing, Hua Jianwen, Wang Mochang. New space-borne remote sensing Fourier transform infrared spectrometer [J]. Infrared and Laser Engineering, 2004, 33(4): 397-400.

[4] 肖小河, 金城, 赵中振, 等. 论中药质量控制与评价模式的创新与发展[J]. 中国中药杂志, 2007, 32(14): 1377-1381.

Xiao Xiaohe, Jin Cheng, Zhao Zhongzhen, et al.. Probe into innovation and development of pattern of quality control and evaluation for Chinese medicine [J]. China J Chinese Materia Medica, 2007, 32(14): 1377-1381.

[5] 李子雷, 王琳, 庞其昌, 等. 基于液晶光谱仪的西洋参品质荧光检测方法[J]. 光学学报, 2010, 30(12): 3622-3626.

Li Zilei, Wang Lin, Pang Qichang, et al.. Panax quinquefolium′s active ingredients detecting method based on LCTF spectrograph [J]. Acta Optica Sinica, 2010, 30(12): 3622-3626.

[6] 吴忠, 苏薇薇, 林敬明. 中药质量标准化和中药现代化系列研究[J]. 中药材, 2001, 24(1): 57-61.

Wu Zhong, Su Weiwei, Lin Jingming. The standard of traditional Chinese medicine quality and the modernization of TCM combined with modern research [J]. Journal of Chinese Medicinal Materials, 2001, 24(1): 57-61.

[7] 谭德讲, 鲁静. 中药生物活性检测方法的思考[J]. 中国药事, 2011, 25(11): 1086-1088.

Tan Dejiang, Lu Jing. Some considerations about bioassay tests in traditional Chinese medicine [J]. Chinese Pharmaceutical Affairs, 2011, 25(11): 1086-1088.

[8] 赵静, 庞其昌, 马骥, 等. 基于液晶滤光器的连续光谱成像测试装置[J]. 光子学报, 2008, 37(4): 758-762.

Zhao Jing, Pang Qichang, Ma Ji, et al.. Design of the continuous spectrum imaging apparatus based on LCTFs [J]. Acta Photonica Sinica, 2008, 37(4): 758-762.

[9] 张汉明, 许铁锋, 秦路平, 等. 中药鉴别研究的发展和现代鉴别技术介绍[J]. 中成药, 2000, 22(1): 101-110.

Zhang Hanming, Xu Tiefeng, Qin Luping, et al.. The progress in the identification skill of traditional Chinese medicine and the introduction of modern indentification technique [J]. Chinese Traditional Patent Medicine, 2000, 22(1): 101-110.

[10] Xing-Xin Yang, Yan-Li Zhang, Xiao-Xia Zhang. Cell membrane chromatography and its application in the analysis of bioactive ingredients of TCMs [J]. J Chinese Pharmaceutical Sciences, 2011, 20: 20-25.

[11] 赵静, 庞其昌, 马骥, 等. 中药黄柏主要活性成分的光谱成像检测技术[J]. 光学学报, 2008, 28(12): 2288-2291.

Zhao Jing, Pang Qichang, Ma Ji, et al.. Main active constituent detection of Cortex phellodendri chinensis by spectral imaging technology [J]. Acta Optica Sinica, 2008, 28(12): 2288-2291.

王琳, 胡翠英, 庞其昌, 马骥, 崔代军. 基于自适应图像分割的中药光谱图像检测[J]. 激光与光电子学进展, 2013, 50(12): 121002. Wang Lin, Hu Cuiying, Pang Qichang, Ma Ji, Cui Daijun. TCM Spectral Imaging Detection Based on Self-Adaptive Region Segmentation Method[J]. Laser & Optoelectronics Progress, 2013, 50(12): 121002.

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