张京平,朱建锡,孙 腾.苹果内部品质的CT成像结合傅里叶变换方法检测[J].农业机械学报,2014,45(5):197-204.
Zhang Jingping,Zhu Jianxi,Sun Teng.Detection of Apples’ Internal Quality Using CT Imaging Technology and Fourier Transform[J].Transactions of the Chinese Society for Agricultural Machinery,2014,45(5):197-204.
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苹果内部品质的CT成像结合傅里叶变换方法检测   [下载全文]
Detection of Apples’ Internal Quality Using CT Imaging Technology and Fourier Transform   [Download Pdf][in English]
投稿时间:2013-06-21  
DOI:10.6041/j.issn.1000-1298.2014.05.031
中文关键词:  苹果 品质检测 傅里叶变换 CT 主成分回归 偏最小二乘回归
基金项目:国家自然科学基金资助项目(31071548)、“十二五”国家科技支撑计划资助项目(2012BAD29B02-4)和浙江省自然科学基金资助项目(398240)
作者单位
张京平 浙江大学 
朱建锡 浙江大学 
孙 腾 浙江大学 
中文摘要:通过对苹果的CT扫描灰度图像进行傅里叶变换,在变换后的频域图像中提取16个参数,并结合苹果的可溶性固形物质量分数、可滴定酸度、pH值和含水率,采用主成分回归和偏最小二乘回归的方法建立模型,预测苹果的内部品质。结果表明,采用主成分回归分析建立模型,主成分的累计贡献率选取99%的情况下,F检验的P均小于0.05,预测效果良好。采用偏最小二乘回归时潜变量的个数为12时,各模型的误差平方和最小,预测效果良好。对两个模型进行误差率验证表明主成分回归的模型略优于偏最小二乘回归模型。
Zhang Jingping  Zhu Jianxi  Sun Teng
Zhejiang University;Zhejiang University;Zhejiang University
Key Words:Apple Quality detection Fourier transform CT technology PCR PLSR
Abstract:The apple CT gray scale images scanned by CT were transformed by Fourier transform, and 16 parameters were extracted from each frequency domain after transformation. Combined with the soluble solid, the titrable acidity, the pH value and the moisture content of apple, the principal components regression (PCR) and the partial least squares regression (PLSR) were employed to establish the prediction models of apples’ internal quality. In the PCR, the first ten principal components were chosen with contribution rate reaching 99%. The models show good prediction results by the F criterion with all the P values lower than 0.05. In the PLSR, each content model has the lowest sum of squared errors when the number of latent variables is 12, which indicated a good prediction result. The results show that the models built by PCR have higher predictive ability than that of PLS method in the matter of errors.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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