DocumentCode :
2087154
Title :
Research on the detected technology of cottonseeds based on image recognition
Author :
Jing-bin, Li ; Jiang-li, Zhu ; Lu-hao, Shao ; Xu-shun, Tian ; Za, Kan
Author_Institution :
Coll. of Mech. & Electr. Eng., Shihezi Univ., Shihezi, China
fYear :
2011
fDate :
27-29 May 2011
Firstpage :
176
Lastpage :
179
Abstract :
The paper is to achieve the detection to red cottonseeds and crashed cottonseeds of Xinjiang, built up inspection and grading system of red cottonseeds and crashed cottonseeds based on the image recognition technology. After took analysis and pretreatment to the image of cottonseeds, color model for red cottonseeds were obtained - HIS color model. Distilled the key character parameters of cottonseeds: proportion, perimeter, circularity, major and minor axis, Chose circularity as the detecting character of crashed cottonseeds based on the analysis of these character parameters. Selected 200 cottonseeds of Xinluzao-26#at random for the experiment, the detecting precision of red cottonseeds had achieved 93.5%, and the detecting precision of crashed cottonseeds had achieved 85.7%.
Keywords :
cotton; image colour analysis; image recognition; inspection; HIS color model; Xinjiang; built-up inspection system; color model; cottonseed detection technology; crashed cottonseed; detecting precision; grading system; image pretreatment; image recognition; Computer crashes; Educational institutions; Feature extraction; Image color analysis; Image recognition; Inspection; Sorting; color model; cottonseeds; image recognition; marginal detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
New Technology of Agricultural Engineering (ICAE), 2011 International Conference on
Conference_Location :
Zibo
Print_ISBN :
978-1-4244-9574-0
Type :
conf
DOI :
10.1109/ICAE.2011.5943778
Filename :
5943778
Link To Document :
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