DocumentCode :
2994861
Title :
The segmentation in textile printing image based on mean shift
Author :
Li, Pengfei ; Wang, Shaoru ; Jing, Junfeng
Author_Institution :
Coll. of Electron. & Inf., Xi´´an Polytech. Univ., Xi´´an, China
fYear :
2009
fDate :
26-29 Nov. 2009
Firstpage :
1528
Lastpage :
1532
Abstract :
According to the theory of mean shift, a color image segmentation algorithm based on mean shift was proposed for the textile printing images. The principle of mean shift was demonstrated, and the extend principle of mean shift was educed. The extended mean shift algorithm was used to try to solve the segmentation of the textile printing image. In this issue, two main steps were introduced: the fitting of image and the segmentation of image. The influences of three parameters to the segmentation effect were analysed. The laboratory result shows that the proposed algorithm can get excellent segmentation after chosen three better parameters.
Keywords :
image colour analysis; image segmentation; textile industry; image color; image fitting; image segmentation; mean shift; textile printing image; Color; Educational institutions; Image segmentation; Laboratories; Machine vision; Pixel; Printing; Probability density function; Testing; Textile technology; Image segmentation; mean shift; textile printing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5266-8
Electronic_ISBN :
978-1-4244-5268-2
Type :
conf
DOI :
10.1109/CAIDCD.2009.5374967
Filename :
5374967
Link To Document :
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