Study on Fruit Quality Inspection Based on Color Image Processing
In this paper, a new method of inspecting fruit quality is proposed based on color image processing. After an image of fruits is taken, white balance is performed. Then the image is transferred from the RGB color model to the HIS color model. Its simplified histograms of hue H and saturation S are calculated as the input of a designed BP network. The output of the BP network is the quality description of the inspected fruits. The number of neurons in the intermediate layer is optimized according to generated error of the BP network. After training, the quality of fruits is inspected by the BP network according to the simplified histograms of H and S of their color image. Experiments are conducted with the quality inspection of bananas. Experiment results show the feasibility and reliability of proposed method.
fruit quality inspection image processing while balance
Yizhong Wang Jianting Men Yanhua Cui Ping Zhang Shaohui Chen George Q.Huang
School of Electronic Information and Automation Tianjin University of Science and Technology Tianjin National Engineering and Technology Research Center for Preservation of Agricultural Products Tianji Department of Industrial and Manufacturing Systems Engineering The University of Hong Kong Hong Kong
国际会议
太原
英文
1-5
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）