基于拐点线的大雾能见度检测算法

doi:10.11772/j.issn.1001-9081.2015.02.0528

计算机应用 ›› 2015, Vol. 35 ›› Issue (2): 528-530.DOI: 10.11772/j.issn.1001-9081.2015.02.0528

基于拐点线的大雾能见度检测算法

刘建磊^1,2, 刘晓亮²

1. 山东交通学院轨道交通学院, 济南 250357;
2. 山东大学控制科学与工程学院, 济南 250061

收稿日期:2014-08-22 修回日期:2014-11-02 出版日期:2015-02-10 发布日期:2015-02-12
通讯作者: 刘建磊
作者简介:刘建磊(1981-),男,山东济宁人,讲师,博士,主要研究方向:模式识别、数字图像处理; 刘晓亮(1990-),男,山东东营人,硕士研究生,主要研究方向:模式识别、人工智能。
基金资助:
国家自然科学基金资助项目(61174175);山东省交通厅科技计划项目(2013A04-06)。

Visibility estimation algorithm for fog weather based on inflection point line

LIU Jianlei^1,2, LIU Xiaoliang²

1. School of Rail Transit, Shandong Jiaotong University, Jinan Shandong 250357, China;
2. College of Control Science and Engineering, Shandong University, Jinan Shandong 250061, China

Received:2014-08-22 Revised:2014-11-02 Online:2015-02-10 Published:2015-02-12

摘要/Abstract

摘要：

针对基于区域增长算法的能见度检测方法精度低和计算复杂度高的问题,提出一种基于拐点线(IPL)检测滤波器的能见度检测算法。首先,分析了拐点线所具有的各向异性、连续性和水平性等特征;然后,根据这些特征构建了一个拐点线检测滤波器,以提高拐点检测的精度和速度;最后,结合能见度计算模型和拐点线检测滤波器的检测结果计算大雾天气下的能见度值。与基于区域增长算法的能见度检测方法相比,该算法的运行时间和检测误差分别降低了80%和12.2%。实验结果表明,基于拐点线检测滤波器的能见度检测算法能够有效提高雾天能见度的检测精度,降低拐点定位的计算复杂度。

关键词: 能见度, 拐点, 各向异性, 区域增长算法, 滤波器

Abstract:

Concerning that the existing visibility estimation methods based on region growing method has shortcomings of low precision and high computational complexity, a new algorithm was proposed to measure the visibility based on Inflection Point Line (IPL). Firstly, the three characteristics including anisotropy, continuity and level of inflection point line were analyzed. Secondly, a new 2-D filter to detect the IPL based on the three characteristics was proposed to improve the accuracy and speed of the inflection point detection. Finally, the visibility of fog weather could be calculated through combing the visibility model and detection results of the proposed filter. Compared with the visibility estimation algorithm based on region growing, the proposed algorithm decreased the time cost by 80% and detection error by 12.2%, respectively. The experimental results demonstrate that the proposed algorithm can effectively improve the detection accuracy, meanwhile reducing the computational complexity of positioning inflection points.

Key words: visibility, inflection point, anisotropy, region growing algorithm, filter

中图分类号:

TP391.41

刘建磊, 刘晓亮. 基于拐点线的大雾能见度检测算法[J]. 计算机应用, 2015, 35(2): 528-530.

LIU Jianlei, LIU Xiaoliang. Visibility estimation algorithm for fog weather based on inflection point line[J]. Journal of Computer Applications, 2015, 35(2): 528-530.

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基于拐点线的大雾能见度检测算法

Visibility estimation algorithm for fog weather based on inflection point line

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