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The segmentation in textile printing image based on mean shift
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 filting of image and the segmentation of image. The influences of three parameters to the segmentation effect were analysised. The laboratory result shows that the proposed algorithm can get excellent segmentation after chosen three better parameters.
The segmentation in textile printing image based on mean shift
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 filting of image and the segmentation of image. The influences of three parameters to the segmentation effect were analysised. The laboratory result shows that the proposed algorithm can get excellent segmentation after chosen three better parameters.
The segmentation in textile printing image based on mean shift
Pengfei Li, (Autor:in) / Shaoru Wang, (Autor:in) / Junfeng Jing, (Autor:in)
01.11.2009
321967 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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