陈育彦,屠康,任珂,邵兴锋,静玮.基于激光图像分析的桃货架品质无损检测试验[J].农业机械学报,2007,38(3):110-113.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2007,38(3):110-113.
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基于激光图像分析的桃货架品质无损检测试验   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:    无损检测  激光  计算机视觉
基金项目:
陈育彦  屠康  任珂  邵兴锋  静玮
南京农业大学
中文摘要:利用波长为650 nm,功率为13、25 mW的半导体激光分别照射货架期间早熟(霞晖)和中熟(朝晖)2个品种桃的表面,通过计算机视觉系统获取图像,并对图像进行处理,得到图像S1和S2及其像素面积,然后对各种所设参数(AS1、AS2、AS1-AS2、AS1/AS2)和桃的各种品质指标进行分析。结果表明:图像参数AS1-AS2与最大破坏力F、果面底色色度a*、果面底色色调角H°和桃果实固酸比SSC/TA之间有较好的相关性,结果验证了激光在水果品质无损检测中的可行性。
Key Words:
Abstract:In this paper, semiconductor lasers with wavelength of 650 nm,powers of 13 and 25 mW, respectively, were used as light source to illuminate the surface of peaches (early harvested one, Xiahui and middle-late harvested one, Zhaohui) during their shelf life. The images gained by the computer vision were pre-treated to get area S1 and S2 and then the captured images were analyzed. The relationships between the image parameters and the correlation coefficients between qualities parameters of peaches were investigated. We found that the parameter AS1-AS2 had a better correlation with the maximum puncturing force, CIE a*, hue angle H° and SSC/TA. The results proved the possibility of non-destructive detection of peach quality by using laser instrument.

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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