Intelligent Identification Method of Geographic Origin for Chinese Wolfberries Based on Color Space Transformation and Texture Morphological Features
Author:
He Jiawang1,
Wang Tianshu1,
Yan Hui2,
Guo Sheng2,
Hu Kongfa1,
Yang Xichen3,
Ma Chenlu1,
Duan Jinao2
Affiliation:
1. College of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing 210023, China
2. National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Nanjing University of Chinese Medicine, Nanjing 210023, China
3. School of Computer and Electronic Information and School of Artificial Intelligence, Nanjing Normal University, Nanjing 210023, China
Abstract
Geographic origins play a vital role in traditional Chinese medicinal materials. Using the geo-authentic crude drug can improve the curative effect. The main producing areas of Chinese wolfberry are Ningxia, Gansu, Qinghai, and so on. The geographic origin of Chinese wolfberry can affect its texture, shape, color, smell, nutrients, etc. However, the traditional method for identifying the geographic origin of Chinese wolfberries is still based on human eyes. To efficiently identify Chinese wolfberries from different origins, this paper presents an intelligent identification method for Chinese wolfberries based on color space transformation and texture morphological features. The first step is to prepare the Chinese wolfberry samples and collect the image data. Then the images are preprocessed, and the texture and morphology features of single wolfberry images are extracted. Finally, the random forest algorithm is employed to establish a model of the geographic origin of Chinese wolfberries. The proposed method can accurately predict the origin information of a single wolfberry image and has the advantages of low cost, fast recognition speed, high recognition accuracy, and no damage to the sample.
Funder
National Key Research and Development Project of China
National Natural Science Foundation of China
Youth Science Foundation of Jiangsu Province
Future Network Scientific Research Fund Project
Natural Science Foundation of the Jiangsu Higher Education Institutions of China
China Agriculture Research System of MOF and MARA
Jiangsu Province 333 High-level Talents Training Project
“Qing Lan Project” in Jiangsu colleges and universities
Supporting project of National Nature Youth Foundation of Nanjing University of Chinese Medicine
Subject
Plant Science,Health Professions (miscellaneous),Health (social science),Microbiology,Food Science
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