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大米粒形边缘检测算法研究 被引量:4

Study in rice figure edge detection algorithms
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摘要 目前,大米品种主要由人工来检测,由于人为因素的影响,造成检测结果主观性强,一致性差。为了解决这一问题,可以利用计算机对大米品种外形进行检测。基于此,讨论了采用几种不同的边缘检测算子来实现对大米外形的检测并比较其结果。实验表明,该方法用于大米粒形的识别时对大米的判定正确率较高。 Now the rice variety had been identified mainly by human inspection. Due to artificial factor, the result of inspection was subjective and non-identical. In order to solve this problem, the rice variety could be identified by computer vision. So some different edge detection operators were presented to complete detection for the rice figure and compare their effects. The experiment result indicates that the correctness is comparatively high while identifying the rice figure by the method.
作者 张慧 张聪
出处 《粮油食品科技》 2008年第4期9-11,共3页 Science and Technology of Cereals,Oils and Foods
关键词 大米粒形 边缘检测 检测算子 rice figure edge detection detection operator
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  • 1万军,徐汀荣.基于Laplacian算子的图像边缘检测方法研究[J].现代电子技术,2004,27(21):92-93. 被引量:14
  • 2游素亚,杨静.图象边缘检测技术的发展与现状[J].电子科技导报,1995(8):25-28. 被引量:22
  • 3许俐,钱敏娟,方如明,罗玉坤.大米加工精度的图象识别方法[J].农业工程学报,1996,12(3):172-175. 被引量:34
  • 4竺子民.光电图象处理[M].武汉:华中理工大学出版社,2001.91-93.
  • 5[1] Ramesh Jain,et al. Machine vision. McGraw-Hill Series in Computer Science,1995
  • 6赖志国,余啸海.Matlab图像处理与应用[M].北京:国防工业出版社,2004.
  • 7Ding K.Shape feature Extraction and Classification of Food Materal Using Computer Vision[J].Transactions of the ASAE,1994,37(5):1 537~1 545.
  • 8Ng H F.Machine Vision Evaluation of Corn Kernel Mechanical and Mold Damage[J].Transactions of the ASAE,1998,41 (2):415 ~420.
  • 9Luo X,Jayas D S,Symons S J.Identification of Damaged Kernels in Wheat using a Colour Machine Vision System[J].Journal of cereal science,1999,30(1):49 ~59.
  • 10Rodriguez F,Berenguel M.A Machine Vision System for Seeds Quality Evaluation Using Fuzzy Logic[J].Computers and Electronics In Agriculture,2001,32 (1):1 ~ 20.

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