Title: The physical pattern evaluation and identification method of infrared thermal image of human health state in Traditional Chinese Medicine

Authors: Wenxue Hong; Cunfang Zheng; Baohong Mi; Cunguo Yu; Wenzheng Zhang; Jingbin Wang

Addresses: College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China ' College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China ' College of Electrical Engineering, Yanshan University, Qinhuangdao 066004, Hebei, China ' Department of Traditional Chinese Medicine, Haigang Hospital in Qinhuangdao, Qinhuangdao 066004, Hebei, China ' Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100000, China ' Department of Spleen and Stomach Disease, Guangzhou University of Chinese Medicine Shenzhen Hospital, Shenzhen 518034, Guangdong, China

Abstract: In view of the lack of objective detection methods for human health in traditional Chinese medicine (TCM), this paper proposes a method based on infrared thermal image sign mode evaluation and identification. From the perspective of data collection, three classification methods are proposed. From medical point of view, the theory of infrared thermography is as follows: governing exterior to infer interior, recognise the whole through observation of the small parts, master both permanence and change. From the perspective of basic methods, health assessment is mainly based on the human symmetry, uniformity, thermal sequence and three-dimensional information. On the basis of the evolution of human health in TCM, this paper proposes the technical route of evaluation and identification of infrared thermal image sign modes. This paper is of great significance to establish an objective method for the evaluation and identification of infrared physical signs based on human health of TCM.

Keywords: traditional Chinese medicine; infrared thermal image; evaluation and identification; human health state.

DOI: 10.1504/IJCAT.2020.111085

International Journal of Computer Applications in Technology, 2020 Vol.64 No.1, pp.18 - 32

Received: 30 Mar 2020
Accepted: 25 May 2020
Published online: 09 Nov 2020 *

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