避免视觉刺激的城市道路侧景观色彩特征自动提取方法  

Automatic extraction of color features of urban road side landscape without visual stimulation

作　　者：张宁[1] ZHANG Ning(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》2019年第11期21-24,28,共5页Automation & Instrumentation

基　　金：咸阳师范学院“青蓝人才”培养计划资助(XSYQL201704);咸阳师范学院专项科研基金项目:文化旅游背景下丝路沿线陕西段古民居建筑文化遗存研究(XSYK17042)

摘　　要：为了提高城市道路段行车的安全性和驾乘人员的视觉体验,提出一种避免视觉刺激的城市道路侧景观色彩特征自动提取方法。采用目标匹配方法进行道路侧景观图像纹理渲染,建立景观图像的均匀分布网格顶点模型,提取反映人类视觉特征的颜色特征量,根据特征提取结果进行色彩模式自动识别和颜色分类,采用块匹配方法实现城市道路侧景观色彩特征自动提取,有效避免视觉刺激,达到提高色彩特征提取的准确性和智能性。仿真结果表明,采用该方法进行城市道路侧景观色彩特征提取的自动匹配能力较好,色彩提取的自适应能力较强。In order to improve the safety of urban road section and the visual experience of driving personnel,an automatic extraction method of landscape color features on the side of urban road is proposed to avoid visual stimulation.The target matching method is used to render the texture of the road side landscape image,the uniform distribution grid vertex model of the landscape image is established,the color feature quantity reflecting the human visual feature is extracted,the color pattern recognition and color classification are carried out according to the feature extraction results,and the urban road side landscape color feature is extracted automatically by using the block matching method,which effectively avoids the visual stimulation.To improve the accuracy and intelligence of color feature extraction.The simulation results show that the automatic matching ability of the urban road side landscape color feature extraction is good,and the self-adaptive ability of the color extraction is strong.

关 键 词：视觉刺激 景观色彩 特征提取 网格顶点模型 自动识别 边缘轮廓检测方法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]