JOURNAL OF TEXTILE RESEARCH ›› 2017, Vol. 38 ›› Issue (11): 110-115.

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Intelligent inspection of dominant colors for Chinese traditional folk Yunjian

  

  • Received:2016-09-01 Revised:2017-07-24 Online:2017-11-15 Published:2017-11-15

Abstract:

In order to solve the problems of time-consuming and poor accuracy during the process of achievement colors from the images of tarditional costumes, an effective color clustering method was developed for Chinese traditional costumes Yunjian image Mean-shift clustering algorithm. A digital Single Lens Reflex camera is used to capture the costumes images. The sub-images in the three color channels are filtered by median filter separately. Thirdly, the filtered images are segmented based on the background color in the Lab color space, and the object costumes is separated from the background. Fourthly, the pixels of the costume image are classified into several clusters by Mean shift clustering algorithm, and the dominate colors are extracted from the classification results. The experimental results demonstrate that the proposed method can extract the dominant colors from costumes images with great accuracy when the bandwidth of Mean shift clustering algorithm is set as 0.05.

Key words: Yunjian, dominant color, Mean-shift clustering algorithm, CIE L*a*b* color model, color inspection

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[1] Shan-Shan WANG. Folk Yunjian in South Shandong and its workmanship [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(3): 109-115.
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