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Research into Visual Orientation in the Weeding Robot Based on COCM

Author: CuiZhiWu
Tutor: DongJunYu
School: Ocean University of China
Course: Computer technology
Keywords: Weeding robot localization Machine Vision The colored direction symbol than on Three-dimensional spatial orientation Robustness
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 27
Quote: 0
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The trend of agricultural development agricultural equipment automation and intelligent . Farmland weeds affect crop growth , reduce the quality of agricultural products . Although the use of herbicides effectively suppress weeds , but the impact on the ecological environment . Develop effective to remove weeds , and farmers can reduce labor intensity and improve the automation of agricultural equipment to a new study . The subject using a lawn mower on the installation of cameras , the use of direction symbol than a combination of the law COCM with colored light or dark spots , assist weeder completed the three-dimensional spatial location test , weeder since automatic precision mobile , and applied the test in the vineyard , completed the weeder visual positioning research . The main research content and results are as follows : argumentation the direction symbol grayscale image object matching method ( OCM ) , learning its comparison method , and , on that basis , the proposed use of the image color information , compare that image color image direction symbol method (COCM). Argues direction symbol colored image by way of trial than image comparison method (COCM) , not only can be shorter than the time , can also improve the accuracy of matching . 2 , the robustness of the test to verify the use of light or dark spots on light or dark spots . 3 based on MMC test of the three - dimensional spatial position and third vertices colored light or dark spots on the label , and using COCM law detection of the center position of the colored spots , to be corrected by the camera , to verify its accuracy . 4 , used in vineyards weeder visual navigation test , select a different test environment , by the method of comparison , validation studies program effectiveness in practical applications . In summary, the use of the colored image direction symbol comparison method (COCM) , and the combination of three - dimensional spatial location test light or dark spots weeder able to complete the visual positioning .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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