摘要
该文从提高民间装饰图案的视觉传达能力的角度出发,需要进行图像纹理智能匹配处理,提出一种基于视觉传达的民间装饰图案纹理智能匹配方法,构建视觉传达下的民间装饰图案纹理智能信息采集模型,采用图像自动成像技术进行民间装饰图案的纹理成像和特征分割,提取典型民间装饰图案和民族设计语言的纹理直方图,根据直方图分布在视觉传达下进行纹理分割和自动匹配,采用正则化特征融合方法进行民间装饰图案纹理信息增强和优化检测,提取民间装饰图案的边缘轮廓特征点,以提取的装饰图案边缘轮廓特征点作为输入统计信息进行纹理匹配。采用该方法进行民间装饰图案纹理匹配的自适应性能较好,纹理分辨能力较强,提高现代视觉传达设计中更好地体现民间装饰图案的应用研究,推动传统文化元素和现代设计创新性结合。
From the perspective of improving the visual communication ability of folk decorative patterns,this paper needs to perform intelligent matching of image textures,and proposes an intelligent matching method of folk decorative patterns based on visual communication to construct intelligent information collection of folk decorative patterns under visual communication.The model uses image automatic imaging technology to perform texture imaging and feature segmentation of folk decorative patterns,extracting texture histograms of typical folk decorative patterns and national design languages,and performing texture segmentation and automatic matching according to histogram distribution under visual communication,using regularization.The feature fusion method is used to enhance and optimize the texture information of the folk decorative patterns,extract the edge contour feature points of the folk decorative patterns,and extract the decorative pattern edge contour feature points as input statistical information for texture matching.The method has better adaptive performance and better texture resolution for folk decorative pattern texture matching.It improves the application of folk decorative patterns in modern visual communication design and promotes the innovative combination of traditional cultural elements and modern design.
作者
张宁
秦杨
ZHANG Ning;QIN Yang(West Anhui University,Lu’an 237012,China)
出处
《南阳理工学院学报》
2019年第4期30-34,共5页
Journal of Nanyang Institute of Technology
基金
安徽省高校人文社会科学重点研究项目
关键词
视觉传达
民间装饰图案
纹理
智能匹配
visual communication
folk decoration pattern
texture
intelligent matching
