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