A Color-based Image Segmentation Approach for Traffic Scene Understanding

被引：2
|
作者：
Song, Lei [1 ]
Liu, Zheyuan [1 ]
Duan, Huixian [1 ,2 ,3 ]
Liu, Na [1 ]
机构：
[1] Third Res Inst Minist Publ Secur, Shanghai, Peoples R China
[2] Tongji Univ, Minist Educ, Key Lab Embedded Syst & Serv Comp, Shanghai, Peoples R China
[3] Shanghai Int Technol & Trade United Co Ltd, Shanghai, Peoples R China
来源：
2017 13TH INTERNATIONAL CONFERENCE ON SEMANTICS, KNOWLEDGE AND GRIDS (SKG 2017) | 2017年
基金：
中国国家自然科学基金;
关键词：
traffic sign understanding; color component; thresholding segmentation; ENTROPY;
D O I：
10.1109/SKG.2017.00014
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Traffic signs are designed with attractive colors and shapes for human vision. Considering the significant characters, color spaces are analyzed based on amount of experiments. For the specific application of traffic scene understanding, some appropriate color components are recommended in our paper, which can reduce the difficulty of segmentation and satisfy the applications on complicated traffic scenes, such as weather various, illumination changes, complex backgrounds, and blurry conditions. Then an approach using entropy of the histogram is applied to traffic sign segmentation. And the experiment results show the validity of our method.
引用
收藏
页码：33 / 37
页数：5
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