Soft system for road sign detection

被引:10
|
作者
Cyganek, Boguslaw [1 ]
机构
[1] Univ Sci & Technol, AGH, PL-30059 Krakow, Poland
来源
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES | 2007年 / 41卷
关键词
RECOGNITION;
D O I
10.1007/978-3-540-72432-2_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper a fuzzy system for detection of the triangular and rectangular traffic signs is presented. In many sign recognition systems reliable and fast shape detection is a prerequisite for successful classification. The proposed method operates on colour images in which it detects the characteristic points of signs by sets of fuzzy rules. These points are used then for extraction of the shapes that fulfil the fuzzy verification rules. The method allows very accurate and real-time detection of the planar triangles, inverted triangles, rectangles, and diamond shapes. The presented detector is a part of a driver-assisting-system for recognition of the road signs. The experimental results verify the method accuracy and robustness.
引用
收藏
页码:316 / 326
页数:11
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