DocumentCode
1727365
Title
Research on Segmentation Algorithm of Adhesive Plant Grain Image
Author
Hua, Gao ; Wang Yaqin ; Pingju, Yaqin Ge
Author_Institution
SDAU, Taian
fYear
2007
Abstract
The region and boundary characteristics of adhesive plant grain image are analyzed firstly in this paper. Then a method for judging the adhesion of grain is proposed by making use of image regional area threshold. Based on the analysis of various kinds of adhesion, a grain cluster segmentation algorithm for distinguishing split point of grain adhesion is put forward too, which makes full use of concavity-convexity of image boundary. Finally, the algorithm flow is presented in detail.
Keywords
adhesion; agricultural products; image segmentation; adhesive plant grain image; boundary characteristics; concavity-convexity; grain adhesion; grain cluster segmentation; image boundary; region characteristics; rice grain image; split point; Adhesives; Algorithm design and analysis; Clocks; Clustering algorithms; Grain boundaries; Image analysis; Image processing; Image segmentation; Instruments; Shape measurement; boundary chain-code; image processing; plant grain; segmentation algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location
Xi´an
Print_ISBN
978-1-4244-1136-8
Electronic_ISBN
978-1-4244-1136-8
Type
conf
DOI
10.1109/ICEMI.2007.4350832
Filename
4350832
Link To Document