School of Communication and Design, Longyan University, Longyan 364000, China.
Department of Design, Hainan Vocational University of Science and Technology, Haikou 571126, China.
Comput Intell Neurosci. 2022 Aug 5;2022:5964851. doi: 10.1155/2022/5964851. eCollection 2022.
In this paper, from the perspective of improving the visual communication of brand design, image texture intelligent matching processing is needed, proposing a brand design texture intelligent matching method based on visual communication, constructing a brand design texture intelligent information acquisition model under visual communication, using automatic image imaging technology for texture imaging and feature segmentation of brand design, and extracting typical brand design and ethnic design language of texture histogram, texture segmentation, and automatic matching under visual communication according to histogram distribution, brand design texture information enhancement and optimization detection by regularized feature fusion method, extraction of edge contour feature points of brand design, and texture matching with the extracted edge contour feature points of decorative patterns as input statistics. The adaptive performance of texture matching for a brand design using this method is better, and the texture discrimination ability is stronger, which improves the application research of better reflecting brand design in modern visual communication design and promotes the innovative combination of traditional cultural elements and modern design.
本文从提高品牌设计视觉传达的角度出发，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品牌设计纹理智能匹配方法，构建品牌设计纹理智能信息采集模型，利用自动图像成像技术对品牌设计的纹理进行成像和特征分割，根据直方图分布提取典型的品牌设计和民族设计语言的纹理直方图、纹理分割和自动匹配，通过正则化特征融合方法进行品牌设计纹理信息增强和优化检测，提取品牌设计的边缘轮廓特征点，并以提取的边缘轮廓特征点作为输入统计进行纹理匹配。该方法对品牌设计的纹理匹配具有更好的自适应性能和更强的纹理辨别能力，提高了更好地反映品牌设计在现代视觉传达设计中的应用研究，促进了传统文化元素与现代设计的创新结合。
