An automated method for intelligent color matching of graphics
A color scheme and graphic technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as inaccurate grasp of color area, long color matching time, inaccurate color matching, etc., to avoid color extraction deviation and improve color matching accuracy The effect of reducing labor intensity
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[0028] The invention provides an automatic graphic intelligent color matching method. The specific steps of the color matching method are as follows:
[0029] (1) Extract the color scheme from the known source graphics, and establish the color scheme of the source graphics. The extraction process of the color scheme of the source graphics is as follows:
[0030] A: First perform Gaussian blur on the source graphics, and then convert the color space to the CIE Lab color space.
[0031] B: Carry out K-means mean clustering on the ab subspace of the CIE Lab color space. The number of clustering types can be manually specified or automatically set to 3 to 6 by the program.
[0032] C: Perform L subspace K-means mean clustering on the image area represented by each clustered color category; the number of clustering categories is set to 3, if any two cluster centers obtained after clustering L If the distance is greater than 15, then such color regions are clustered into 3 categori...
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