Ms. Limei Song Profile

Limei Song

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Proceedings Article | 27 March 2024 Paper

Research on the application of intelligent Chinese herbal medicine identification technology

Xiangzhen Cui, Limei Song, Jing Sun, Hongyu Zhou

Proceedings Volume 13105, 131052B (2024) https://doi.org/10.1117/12.3026697

KEYWORDS: Medicine, Nose, Image processing, Sensors, Image analysis, Feature extraction, Biomedical applications, Principal component analysis, Gas sensors, Detector arrays

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Chinese medicinal materials play an important role in the health care of our people, and the quality of Chinese medicine has received more and more attention. The quality of Chinese medicinal materials and the authenticity of drugs are related to the therapeutic effect, so the identification of authenticity of Chinese medicinal materials is very important. China is very rich in traditional Chinese medicine resources, and many kinds of traditional Chinese medicines have brought great difficulties to the identification of traditional Chinese medicinal materials. The characteristics of traditional Chinese medicines are not only the appearance characteristics of medicinal materials, but also the external manifestations of the internal organizational structure of medicinal materials and the chemical components contained in them. In research, the essence of the trait identification of traditional Chinese medicine is to explain the correlation between trait characteristics and internal tissue structure and its intrinsic chemical composition in modern science. At present, some new methods and technologies are applied to the identification of traditional Chinese medicine traits, such as simulating the electronic nose and electronic tongue generated by the human olfactory organ and taste system, and image recognition and identification are also used. These new methods and technologies are all extensions of trait identification and are conducive to the development of Chinese medicine.

Proceedings Article | 2 February 2023 Paper

Research on stepwise correction software of photographic image in Chinese medicine extraction monitoring

Xiangzhen Cui, Xueling Zheng, Xin Zhou, Limei Song

Proceedings Volume 12462, 1246220 (2023) https://doi.org/10.1117/12.2660819

KEYWORDS: Photography, Medicine, Image processing, Logic, Surgery, Image quality, Cameras, Statistical analysis, Optical inspection, Intelligence systems

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In order to realize the intelligent extraction of Chinese medicine production enterprises, the old equipment can be transformed. The method of transformation is to use camera technology to obtain data. In view of the situation that the collected images are not clear enough, this paper establishes a step-by-step correction method for photographic images. In the field of visual inspection, cameras are used to collect images, and the images taken are photographic images. The photographic images may be distorted so that the parallel lines on the object become non-parallel lines in the captured image. In order to restore the true shape of the object, the image needs to be corrected. Image processing system includes image capture module, image recognition module and image correction module. Image correction first performs parallel line intersection calculation and then performs image step-by-step correction. Image step-by-step correction includes affine correction, similarity correction and metric correction. This paper summarizes the computer running logic of each correction module through experiments. The corrected camera image enters the monitoring system of traditional Chinese medicine extraction, which makes the detection of traditional Chinese medicine extraction more timely, comprehensive and effective. The successful application of step-by-step correction software for photographic images has broken through the technical bottleneck of traditional Chinese medicine extraction equipment, realized real-time and effective monitoring of key indicators in the production process of traditional Chinese medicine extraction, and formed an advanced and effective quality control system for the production process of traditional Chinese medicine extraction. Stepwise image correction technology can also be applied to process monitoring in other industries to achieve intelligent production management.

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