傳統(tǒng)服飾云肩實(shí)物圖像主色的智能檢測
發(fā)布時間：2019-05-24 16:28
【摘要】：為解決獲取傳統(tǒng)服飾實(shí)物圖像色彩耗時且缺乏準(zhǔn)確性問題,以傳統(tǒng)服飾的云肩為例,借助均值漂移(Mean-shift)聚類法,提出了一種檢測傳統(tǒng)服飾實(shí)物圖像顏色的方法。運(yùn)用單反數(shù)碼相機(jī)進(jìn)行實(shí)物圖像采集;對所得初始圖像的R、G、B 3個顏色通道進(jìn)行去噪處理;再將圖像RGB顏色空間的特征向量轉(zhuǎn)換至CIE L*a*b*顏色空間中,利用大津法閾值原理(自適應(yīng)閾值算法)分割被測圖像中云肩實(shí)物與背景;最后采用Mean-shift聚類算法,將被測圖像的顏色像素分割為若干有效的集群,同時從這些集群中提取云肩主要色彩。實(shí)驗(yàn)結(jié)果表明,該算法可較為準(zhǔn)確地從云肩圖像中提取主色,且當(dāng)Mean-shift聚類算法的帶寬被設(shè)定為0.05時,分類顏色結(jié)果更為準(zhǔn)確。
[Abstract]:In ord to solve that problem of time-consuming and lack of accuracy of the real image of traditional dress, a method for detecting the color of the real image of traditional dress is proposed by means of the mean-shift clustering method. the method comprises the following steps of: carrying out real-time image acquisition by using a single-inverse digital camera; performing de-noising processing on the R, G, and B three color channels of the obtained initial image; and converting the feature vector of the image RGB color space into the CIE L * a * b * color space, In that pap, the physical and the background of the cloud shoulder in the image to be measured are segmented by the method of the threshold of the large-body method (adaptive threshold); finally, the mean-shift clustering algorithm is adopted, and the color pixels of the image to be measured are divided into several effective clusters, and the main colors of the cloud shoulder are extracted from the clusters. The experimental results show that the algorithm can extract the dominant color from the cloud shoulder image more accurately, and when the bandwidth of the Mean-shift clustering algorithm is set to 0.05, the classification color results are more accurate.
【作者單位】： 江南大學(xué)紡織服裝學(xué)院;江蘇省服飾類非物質(zhì)文化遺產(chǎn)研究基地;香港理工大學(xué)紡織及制衣學(xué)系;
【基金】：中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金項(xiàng)目(JUSRP51417B)
【分類號】：TP391.41;TS941.11
本文編號：2485012
[Abstract]:In ord to solve that problem of time-consuming and lack of accuracy of the real image of traditional dress, a method for detecting the color of the real image of traditional dress is proposed by means of the mean-shift clustering method. the method comprises the following steps of: carrying out real-time image acquisition by using a single-inverse digital camera; performing de-noising processing on the R, G, and B three color channels of the obtained initial image; and converting the feature vector of the image RGB color space into the CIE L * a * b * color space, In that pap, the physical and the background of the cloud shoulder in the image to be measured are segmented by the method of the threshold of the large-body method (adaptive threshold); finally, the mean-shift clustering algorithm is adopted, and the color pixels of the image to be measured are divided into several effective clusters, and the main colors of the cloud shoulder are extracted from the clusters. The experimental results show that the algorithm can extract the dominant color from the cloud shoulder image more accurately, and when the bandwidth of the Mean-shift clustering algorithm is set to 0.05, the classification color results are more accurate.
【作者單位】： 江南大學(xué)紡織服裝學(xué)院;江蘇省服飾類非物質(zhì)文化遺產(chǎn)研究基地;香港理工大學(xué)紡織及制衣學(xué)系;
【基金】：中央高�；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金項(xiàng)目(JUSRP51417B)
【分類號】：TP391.41;TS941.11
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