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Research on quantifying color of HSV in extraction of middle-level semantic objects of traditional Chinese painting images

机译:HSV颜色量化在国画图像中层语义对象提取中的研究

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Tra dit io n a l Chinese painting is a unique form of art and highly regarded for its theory, expression and techniques throughout the world. The scripts part and the seals part of the traditional Chinese painting images are integral parts of traditional Chinese paintings and have high semantics. The automatic extraction of these two parts becomes a key problem. The seals part and scripts part are mostly in black ink and red color respectively. To extract them, the black or red regions should be first extracted. In the paper, we focus on how to quantify color of HSV to get better extracted results according to the characteristics of traditional Chinese painting images. A color quantifying model is given first. Then the results under different quantifying value are analyzed in details. The extracted results are satisfactory. The work of the paper is very meaning to further extract the scripts part and the seals part of traditional Chinese painting images accurately.
机译:传统中国画是一种独特的艺术形式,在世界范围内因其理论,表现力和技术而备受推崇。国画图像的文字部分和印章部分是国画的组成部分,具有较高的语义。这两个部分的自动提取成为一个关键问题。印章部分和脚本部分分别主要是黑色墨水和红色。要提取它们,应先提取黑色或红色区域。在本文中,我们着重于如何根据中国传统绘画图像的特征对HSV的颜色进行量化以获得更好的提取结果。首先给出颜色量化模型。然后详细分析了不同量化值下的结果。提取结果令人满意。本文的工作对于进一步准确地提取中国传统绘画图像的文字部分和the刻部分具有十分重要的意义。

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