JOURNAL OF TEXTILE RESEARCH ›› 2018, Vol. 39 ›› Issue (05): 137-143.doi: 10.13457/j.fzxb.20170711007

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Printed fabric pattern retrieval based on edge and color features

  

  • Received:2017-07-31 Revised:2018-01-23 Online:2018-05-15 Published:2018-05-10

Abstract:

The same shape filled with different solors or the same external shape comprising different intrenal shape is wery common in fabric printing. Aiming at precisely retrieval printed fabric patterns, a retrieval algorithm based on pattern edge and color features was proposed. Firstly, pattern edge image was obtained from the pretreated result with an image median filter process, and the mean value of all the edge points of the edge image from canny operate result was calculated and set as its center, then the edge points were divided into some equidistant ring regions from the center for extracting edge distance histogram as the image edge feature. Based on the line fitting results from the edge pixels, the edge direction histogram was extracted too. Secondly, the color edge was quantized in the HSV color space, and the edge color histogram was extracted as the image color feature. Finally, edge and color features were combined with different weights after normalization. Experiment results show that the algorithm has influence proposed of image translation, scaling and rotation, and the influence of edge and color features can clearly reflect in the retrieval results, so that patterns with the same shape but different colors, or patterns with the same external shape but different internal structures, can be accurately distinguished. The average precision of the algorithm is higher than 93.17%.

Key words: fabric printing, pattern retrieval, image retieval algorithm, edge feature, color features

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