基于视觉传达的多维彩色图像模糊区域特征识别方法  

Fuzzy region feature recognition of multidimensional color image based on visual communication

作　　者：郑仁思[1] ZHENG Renshi(Xianyang normal University,Xianyang Shanxi 712000,China)

机构地区：[1]咸阳师范学院

出　　处：《自动化与仪器仪表》2020年第2期27-30,共4页Automation & Instrumentation

基　　金：咸阳师范学院校级重点科研项目《关中民间艺术中的隐性符号与地域性视觉传达设计研究》(No.XSYK18019);咸阳师范学院“青年骨干教师”项目(No.XSYGG201703);文化软实力视阈下的产品设计教学实践创新图人才培养模式研究(No.SGH16H186);陕西省教育科学“十三五”规划2016年度课题

摘　　要：为了提高多维彩色图像的检测识别能力,提出一种基于视觉传达的多维彩色图像模糊区域特征识别方法。构建多维彩色图像模糊区域特征匹配模型,采用模板匹配方法进行多维彩色图像的多尺度结构二值模式分割处理,对分割后的彩色图像利用视觉传达方法进行模糊区域特征提取,获得适应于图像识别表达的像素特征集,采用零均值化的图像滤波方法进行多维彩色图像降噪处理,提高多维彩色图像模糊区域特征检测和识别能力,结合图像的旋转不变性和灰度不变性,实现多维彩色图像模糊区域特征识别。仿真结果表明,采用该方法进行多维彩色图像模糊区域特征识别的准确性较高,特征匹配能力较强。In order to improve the ability of multi-dimensional color image detection and recognition,a multi-dimensional color image fuzzy region feature recognition method based on visual communication is proposed.The fuzzy region feature matching model of multidimensional color image is constructed,and the multi-scale structure binary pattern segmentation of multi-dimensional color image is processed by template matching method.The segmented color image is extracted by visual communication method,and the pixel feature set suitable for image recognition and expression is obtained.The image filtering method based on zero mean value is used for multi-dimensional color image denoising.The feature detection and recognition ability of multi-dimensional color image fuzzy region is improved,and the feature recognition of multi-dimensional color image fuzzy region is realized by combining the rotation invariance and gray invariance of the image.The simulation results show that the proposed method is more accurate and has better feature matching ability in multi-dimensional color image fuzzy region recognition.

关 键 词：视觉传达 多维彩色图像 模糊区域 特征识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]