DocumentCode :
3388924
Title :
Identification and location of corn seedling based on computer vision
Author :
Li-Jun, Chen ; Xue-Wei, Bai ; Wen-tao, REN
Author_Institution :
Coll. of Eng., Shenyang Agric. Univ., Shenyang, China
fYear :
2010
fDate :
24-28 Oct. 2010
Firstpage :
1240
Lastpage :
1243
Abstract :
A prerequisite for variable spray operations is to detect, identify and locate maize seedlings in the complex scenes of farmland rapidly and accurately. In this paper, Regular pattern in distribution and growth of the corn seedling by bunch planting but leaves of plant overlapped in field is carefully taken into account, with the image acquisition mode which the camera image plane parallelized to the ground, in order to obtain the center of maize seedling roots, over-segmentation block projection method based on position feature is employed to locate crown of maize seedlings with the image captured. So the coordinate of corn root can be indirectly obtained by means of principles of perspective in machine vision as well as growing characteristics of corn. Experiment shows that the positioning error by this method is less than 30mm, and the average time in processing an image with 640 × 512 pixels in MATLAB is less than 300ms.
Keywords :
agriculture; computer vision; image segmentation; MATLAB; bunch planting; camera image plane; computer vision; corn seedling identification; corn seedling location; image acquisition mode; machine vision; over-segmentation block projection; position feature; positioning error; variable spray operations; Computer vision; Image processing; Position feature; corn seedling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
Type :
conf
DOI :
10.1109/ICOSP.2010.5654972
Filename :
5654972
Link To Document :
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