郑冠楠,谭豫之,张俊雄,李伟.基于计算机视觉的马铃薯自动检测分[J].农业机械学报,2009,40(4):166-168.
.Detecting and Grading Method of Potatoes with Computer Vision[J].Transactions of the Chinese Society for Agricultural Machinery,2009,40(4):166-168.
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基于计算机视觉的马铃薯自动检测分   [下载全文]
Detecting and Grading Method of Potatoes with Computer Vision   [Download Pdf][in English]
  
DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  马铃薯  分级  计算机视觉  特性
基金项目:
郑冠楠  谭豫之  张俊雄  李伟
中国农业大学
中文摘要:根据大小特性,采用改进的果径法进行马铃薯的大小分级;根据外形特性,采用离心率法进行马铃薯的形状分级;根据颜色特性,采用灰度值差值法检测发芽马铃薯;根据边界特性,采用相邻采样边界点归一化半径差的方法检测畸形马铃薯,并实现了马铃薯在线综合检测分级。检测试验结果表明:系统分级结果比较稳定,分级精度达到
Key Words:
Abstract:88.0%。An automatic detecting and grading method of potatoes with computer vision was studied. Potatoes were graded according to their size by computing the potatoes’ longest axis and potatoes were grading according to the shape by computing the eccentricities. Sprouting potatoes were detected by computing the difference values of green channel gray value and misshapen potatoes were detected by computing sampling normalized radius differences’ absolute values. A potato grading software was designed to grade potatoes by size, shape and detect at the same time. The experiments show that the result with grading method described above is steady, and its precision was up to 88.0%.

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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