Title :
Fast location of corn images based on position features
Author :
Chen, Li-Jun ; Ren, Wen-Tao ; Li, Yong-Kui
Author_Institution :
Coll. of Eng., Shenyang Agric. Univ., Shenyang, China
Abstract :
Fast and accurate positioning of corn image is a premise to variable spray. In this paper, a method of locating the centre of strains based on over-segmentation positioning block projection was raised against the growth characteristics and overlapping leaves of hole-sowing plant. Hole-sowing corn was studied as the research objective. Tests showed that the locating error was within 30mm, and the locating time was 16ms, which met the precision and real-time requirements of spray. This method was applicable to location for all stages of seedling crops.
Keywords :
feature extraction; image segmentation; corn image location; feature positioning; hole-sowing corn; hole-sowing plant; over-segmentation positioning block projection; time 16 ms; CMOS image sensors; Cameras; Crops; Image segmentation; Layout; Machine vision; Robustness; Soil; Spraying; Testing; image procession; location features; projection positioning; variable spray; weed identification;
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2010 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4244-5554-6
Electronic_ISBN :
978-1-4244-5556-0
DOI :
10.1109/IASP.2010.5476114
