DocumentCode :
2950875
Title :
Detection of Chalk Degree of Rice Based on Image Processing
Author :
Guangrong, Liu
Author_Institution :
Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ., Wuhan, China
fYear :
2011
fDate :
20-21 Aug. 2011
Firstpage :
515
Lastpage :
518
Abstract :
Chalk degree is one of the most important indicators for judgment of rice quality. In order to quickly and objectively and accurately detect rice chalkiness, the purpose of this article is for the practical application. Firstly, the rice has been extracted from background with optimal threshold, then, after the optimal threshold of extracting chalk has been defined through contrast-ribbon approximating chalk, the chalk has been extracted from the rice. Chalky grain has been defined through Calculating area ratio of chalk and the whole rice, chalky area ratio and chalky grain rate have been calculated. Then the automatic detection of rice chalk degree has been realized.
Keywords :
agricultural products; image processing; chalk degree detection; chalky grain; image processing; optimal threshold; rice chalk degree; rice chalkiness; rice quality; Computers; Image color analysis; Image edge detection; Image segmentation; Impurities; Noise; Chalk Degree; Contrast-Ribbon; Optimal Threshold; Rice Quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligence Science and Information Engineering (ISIE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-0960-9
Electronic_ISBN :
978-0-7695-4480-9
Type :
conf
DOI :
10.1109/ISIE.2011.83
Filename :
5997496
Link To Document :
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