DocumentCode :
2646943
Title :
Shape feature extraction of fruit image based on chain code
Author :
Sun, Yong-xianga ; Zhang, Cheng-minga ; Liu, Ping-zenga ; Zhu, Hong-mei
Author_Institution :
Shandong Agric. Univ., Taian
Volume :
3
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1346
Lastpage :
1349
Abstract :
A new method for the contour tracking of the fruit image based on the chain code is presented. The shape features of the fruit image are extracted according to the chain code characteristics, including circumference, area, circular degree, inscribed circle radius, graph complexity, concave rate, graph parameter, height and width. Experimental results show that this method is very simple, effective and accurate, with less storage data.
Keywords :
agricultural products; feature extraction; image coding; tracking; agriculture automatization; chain code; contour tracking; fruit image; shape feature extraction; Feature extraction; Image analysis; Image segmentation; Noise figure; Pattern analysis; Pattern recognition; Pixel; Shape; Target tracking; Wavelet analysis; Chain code; Feature extraction; Fruit image; Shape Feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421643
Filename :
4421643
Link To Document :
بازگشت