Title :
Morphological skeleton analysis of traffic signs on road
Author :
Gangyi, Jiang ; Yi, Zheng ; Young, Choi Tae
Author_Institution :
Inst. of Artificial Intelligence & Pattern Recognition, Shantou Univ., Guangdong, China
Abstract :
Traffic signs on roads are artificial objects which take specific shapes, and always contain outer contour and inner shape. The key to recognizing them by computer vision is how to detect them and identify their inner shapes. In this paper, mathematical morphology is used to research shape features of inner shapes of traffic signs on roads, and morphological skeletons of the inner shapes are analyzed experimentally. Relative functions and distance functions of the morphological skeletons are presented and discussed, which can be very well used to identify the traffic signs on roads
Keywords :
computer vision; mathematical morphology; computer vision; inner shape; mathematical morphology; morphological skeleton analysis; outer contour; traffic signs; Artificial intelligence; Cities and towns; Computer vision; Image recognition; Morphological operations; Morphology; Pattern recognition; Roads; Shape; Skeleton;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.569742