基于HSV阈值量的青花瓷纹饰分类研究

Research on Classification of Blue and White Porcelain Decoration Based on HSV Threshold Quantization

民间收藏、拍卖对青花瓷图像的数字化需求和将数字特征、艺术风格相结合的自动分类目的。本文研究青花瓷图像的颜色特征算法并利用KNN进行纹饰分类。根据青花瓷片的纹饰知识,结合图像颜色特征算法的研究,提出一种基于HSV空间的多阈值量化颜色直方图特征提取方法。利用KNN做分类实验,分析对比传统颜色特征提取算法。实验证明,应用本文方法提取的颜色特征和分类方法可以有效地对青花瓷纹饰图像进行分类。

Private collection auction demand for digital blue and white image and combining digital features and artistic style automatic classification purposes,analysis color features and using KNN classification in this paper. According to the blue and white porcelain decoration knowledge,combined with color features,proposes a multi- threshold HSV color space quantization histogram feature extraction method. Using KNN to classify,compared to traditional color feature extraction algorithm. Experiments show that,color feature extraction and classification method of the application of this method can effectively classify the image of blue and white porcelain decoration.