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