Title :
Segmentation for Fabric Pilling Images Based on Edge Flow
Author_Institution :
Basis Dept., Chinese People´´s Armed Police Forces Acad., Langfan, China
Abstract :
Pilling image segmentation is a key step in the objective evaluation system of fabric pilling level. The traditional methods of pilling segmentation apply to only one or more fabrics. In order to improve the properties of the evaluation system, an algorithm based on edge flow is proposed in this paper. The algorithm makes use of a prediction model to identify the image color or direction change of image texture in the given scale, and an edge flow vector is generated. The edge points of image are detected through the propagation of edge flow vector. The algorithm is proved to have strong adaptability and better effect for more fabric pilling images through the experiments.
Keywords :
Gabor filters; edge detection; fabrics; image colour analysis; image segmentation; image texture; textile industry; wavelet transforms; Gabor wavelet; edge flow vector propagation algorithm; edge point detection; fabric pilling image segmentation; fabric pilling level evaluation system; image color identification; image direction change identification; image texture; prediction model; Change detection algorithms; Colored noise; Computer vision; Fabrics; Filters; Image edge detection; Image segmentation; Image texture; Predictive models; Smoothing methods; Gabor wavelet; edge connection; edge detection; edge flow; pilling segmentation;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.204
