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成熟柑橘的图像识别及空间定位研究 被引量:20

Image Recognition and Three-dimensional Location of Mature Oranges from Nature Scene
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摘要 采用RGB颜色系统中2R-G-B色差的Ostu自适应阈值分割的方法可以将单果、多果、部分重叠及遮挡的成熟柑橘自动、快速识别;优化圆形Hough变换逼真地拟合出目标图像的形心坐标及半径;提出一种新的基于特征的匹配策略,结合双目立体成像技术实现空间目标的准确定位。经过验证,识别率>95%,当工作距离小于1.0m时,距离误差可以控制在±0.8cm以内,算法准确快捷、鲁棒性好、通用性强。 A new method is presented according to the self-adjusting threshold of 2R-G-B, the algorithm can recognize single or multi-fruits easily and accurately, especially a portion of the fruits overlapped or sheltered; the Circular Hough transform arithmetic can simulate the object image centroid coordinates and radius realistically;The new match technique of the binocular stereo vision can locate the objects accurately, The result shows that the recognition correctness rate is high up to 95%, and when the work distance is less than 1.0m, almost all the errors are less than 0.8cm, the algorithm is effective,robust and universal.
出处 《微计算机信息》 北大核心 2007年第34期224-225,314,共3页 Control & Automation
基金 国家863项目(2006AA10Z263) 江苏省高校自然科学基金资助项目(05KJB210019)
关键词 识别 定位 圆形Hough变换 双目立体视觉 Recognition,Location,Circuar Hough transformation,Binocular stereo vision
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参考文献3

  • 1Grasso, G.. and M. Recce. Scene analysis for an orange picking robot. In Proc. Int. Congress for Computer Technology in Agriculture (ICCTA" 96), 1996.
  • 2王新忠,毛罕平,林明伟.基于YIQ彩色模型的成熟番茄图像分割识别.中国农业工程学会学术年会,2005:332-335.
  • 3何鑫,刘立柱.机器人足球视觉系统中的实时图像处理[J].微计算机信息,2005,21(06X):49-50. 被引量:13

二级参考文献4

  • 1S.R. Hedberg, Robots playing soccer? RoboCup poses a new set of challenges in intelligent distributed computing, IEEE Concurrency,Volume: 5, Issue: 4, 1997,pp. 13-17.
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