Research on image algorithm of edge detection based on Fuzzy Technology

被引：0

作者：

Fang Jian ^{[1
]}

Guan Rongqiang ^{[1
]}

Liu Junyi ^{[1
]}

机构：

[1] Jilin Engn Normal Univ, 3050 Triumph Rd, Changchun, Jilin Province, Peoples R China

来源：

2016 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C) | 2016年

关键词：

Auto channel identification; Fuzzy technology; Edge detection; Rapid extraction;

D O I：

10.1109/IS3C.2016.178

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

On the basis of vehicle automated driving research and the route to record, auto channel identification is particularly important. Therefore, in the case of considering the car speed to quickly identify the road marking line. In this paper, under the condition of considering several roads, as well as the identification of several cameras to do experiments repeatedly. Finally achieved quickly to identify the white mark lines on theroad.

引用

页码：694 / 697

页数：4

共 7 条

[1] Sub-pixel measurement of 3D surfaces by laser scanning [J].

Izquierdo, MAG ;

Sanchez, MT ;

Ibañez, A ;

Ullate, LG .

SENSORS AND ACTUATORS A-PHYSICAL, 1999, 76 (1-3) :1-8

[2]

Liang Zhiguo, 2004, J MECH ENG

[3]

Lin Li, 2001, DIGITAL BAND IMAGE C

[4]

Ming Li, 2005, 3D LASER MEASURING T

[5] THRESHOLD SELECTION METHOD FROM GRAY-LEVEL HISTOGRAMS [J].

OTSU, N .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1979, 9 (01) :62-66

[6] An unbiased detector of curvilinear structures [J].

Steger, C .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (02) :113-125

[7]

Wu J.B., 2001, SEMICOND OPTOELECTRO, V22

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