{"title":"基于视觉传达设计的智能模式匹配方法","authors":"Mengsi Yang, Feiyang Hu, J. Chen","doi":"10.1109/ICETCI53161.2021.9563372","DOIUrl":null,"url":null,"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.","PeriodicalId":170858,"journal":{"name":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Intelligent Pattern Matching Method Based on Visual Communication Design\",\"authors\":\"Mengsi Yang, Feiyang Hu, J. Chen\",\"doi\":\"10.1109/ICETCI53161.2021.9563372\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":170858,\"journal\":{\"name\":\"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)\",\"volume\":\"164 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETCI53161.2021.9563372\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Electronic Technology, Communication and Information (ICETCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETCI53161.2021.9563372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent Pattern Matching Method Based on Visual Communication Design
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.