Abstract
Based on the normalized product correlation image matching algorithm, this paper uses wavelet transform for image pre-processing and conducts a content-based image retrieval applied research based on blue apple flea beetle. The experiment proves that this method can not only greatly shorten the matching time, but also improve the identification of Nprod coefficient. It makes image matching more accurate, and provides a new train of thoughts for the image retrieval of fruit tree diseases and insect pests based on content.
Additional information
Notes on contributors
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wang zhijun
Wang Zhijun, associate professor. He received MS degree in Shandong Normal University. His main directions are computer networks, information security technology and agricultural informatization. In recent years, Prof. Wang actively participates in a number of national and provincial scientific researches and publishes about ten papers in many periodicals.
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liu yuefeng
Liu Yuefeng graduate from Shandong Agricultural University. He is a master's candidate of Communication University of China. His major is computer application and his direction of studying is digital entertainment and animation technology.
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jiang meng
Jiang Meng graduates from Shandong Agricultural University. He is a master's candidate of Shandong Agricultural University. His major is computer application and his direction of studying is agricultural information management. Jiang Meng has published several papers in many periodicals.
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Cheng Shuhan
Cheng Shuhan holds the Doctor in Horticulture from College of Horticulture in Shandong Agricultural University. He is a Professor in College of Information Science and Engineering. His research interests are in biomathematics, agricultural information management. He has published over 30 papers in many periodicals.
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wang yucun
Wang Yucun holds the MSC degree from Dalian University of Technology. He is an associate professor in College of Information Science and Engineering, Shandong Agricultural University. His research directions are computer application, pattern recognition and intelligent device.