摘要
为了提高城市带状道景观尖锐特征提取的完整性,需要对道路景观尖锐特征提取方法进行优化。采用当前道路景观尖锐特征提取方法对城市带状道路景观尖锐特征进行提取时,存在抗干扰性能差、完整性低的问题。提出一种城市带状道路景观尖锐特征提取完整性优化方法,通过构建城市带状道路景观灰度图像和RGB色彩空间图像的灰度共生矩阵,提高右干扰性能。根据角二阶矩、熵、对比度、相关性四个纹理特征完成城市带状道路景观中尖锐特征的提取,采用MSR算法提亮城市带状道路景观图像的亮度,使处理后的城市带状道路景观图像中的尖锐特征更加细致、清晰,提高尖锐特征提取的完整性,完成城市带状道路景观尖锐特征提取的完整性优化。仿真结果表明,采用所提方法对城市带状道路景观尖锐特征进行提取时,完整性高、抗干扰性能强。
This paper proposes a method to optimize the sharp feature extraction completeness of landscape in ur- ban strip road. Firstly, this method improved anti-jamming performance by constructing the gray level co-occurrence matrix between landscape gray level image in urban strip road and RGB color space image. On the basis of four tex- ture features such as angular second moment, entropy, contrast and correlation, the extraction of sharp feature of landscape in urban strip road was completed. Then, this research used MSR algorithm to raise the brightness of land- scape image in urban strip road, which made sharp feature of landscape image in urban strip road after processing more detailed and clear. Meanwhile, the completeness of sharp feature extraction was improved. Finally, the com- pleteness optimization of sharp feature extraction of landscape in urban strip road was completed. From simulation re- sults, it can be concluded that the proposed method has high completeness and strong anti-jamming performance.
作者
高磊
GAO Lei(College of Art and Design,Qingdao Technological University,Qingdao Shandong 266033,Chin)
出处
《计算机仿真》
北大核心
2018年第7期261-264,共4页
Computer Simulation
关键词
带状道路
特征提取
完整性优化
Strip road
Feature extraction
Completeness optimization
