Title :
Study on the Edge Detection Algorithms of Road Image
Author :
Fan, Chun-ling ; Ren, Yuan-yuan
Author_Institution :
Coll. of Autom. & Electr. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
Recently, road detection technique is a very important part of vision navigation, which is the key technique of intelligent vehicle guidance. The detection result is seriously affected by the quality of noise and image. Road edge detection is help to analyze the direction of the road extension and the specific location of obstacles, size and speed of obstacles in the road. In this paper, several typical edge detection operators in digital image processing are theoretically analyzed, and are used for road edge detection. By comparing the simulation results of road edge detection, the better road test results can be gained when using Sobel operator and Prewitt operator. At the same time, the application environment for each operator is provided.
Keywords :
computer vision; computerised navigation; edge detection; traffic engineering computing; Prewitt operator; Sobel operator; digital image processing; edge detection algorithms; intelligent vehicle guidance; road image; vision navigation; Algorithm design and analysis; Convolution; Image edge detection; Noise; Pixel; Roads; edge detection; operator; road images;
Conference_Titel :
Information Processing (ISIP), 2010 Third International Symposium on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8627-4
DOI :
10.1109/ISIP.2010.122