Intelligent Pattern Matching Method Based on Visual Communication Design

Mengsi Yang, Feiyang Hu, J. Chen
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引用次数: 0

Abstract

In this paper, an intelligent matching method of ornamentation based on visual communication is proposed, and an intelligent information collection model of ornamentation based on visual communication is constructed. The image automatic imaging technology is used to segment the texture image and feature of the pattern. Extract texture histograms of typical patterns and design languages. According to the histogram distribution, texture segmentation and automatic matching are performed in the case of visual communication. The regularization feature fusion method was used to enhance and optimize the texture information detection of folk decorative patterns, and the edge contour feature points of folk decorative patterns were extracted, and the extracted edge contour feature points were input as the statistical information of texture matching. This method has good adaptive performance and strong texture resolution for folklore texture matching.
基于视觉传达设计的智能模式匹配方法
提出了一种基于视觉传达的纹饰智能匹配方法,构建了基于视觉传达的纹饰智能信息采集模型。采用图像自动成像技术对图案的纹理图像和特征进行分割。提取典型图案和设计语言的纹理直方图。根据直方图分布,在视觉传达的情况下进行纹理分割和自动匹配。采用正则化特征融合方法对民间装饰图案纹理信息检测进行增强和优化,提取民间装饰图案边缘轮廓特征点,并将提取的边缘轮廓特征点作为纹理匹配的统计信息输入。该方法对民俗纹理匹配具有良好的自适应性能和较强的纹理分辨率。
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