Title :
Research on Segmentation Algorithm of Adhesive Plant Grain Image
Author :
Hua, Gao ; Wang Yaqin ; Pingju, Yaqin Ge
Author_Institution :
SDAU, Taian
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;
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
DOI :
10.1109/ICEMI.2007.4350832
