Straight line extraction, matching, and 3D object motion estimations from intensity images

1993 ◽  
Author(s):  
Yuncai Liu ◽  
Thomas S. Huang
2013 ◽  
Vol 13 (9) ◽  
pp. 706-706
Author(s):  
J. Zhang ◽  
M. Braunstein ◽  
G. Andersen
Keyword(s):  

Author(s):  
Shenghua Xu ◽  
Jiping Liu ◽  
Jianping Pan ◽  
Yong Wang

2011 ◽  
Vol 32 (23) ◽  
pp. 8315-8330 ◽  
Author(s):  
Shenghua Xu ◽  
Jiping Liu ◽  
Yong Wang ◽  
Litao Han ◽  
Yunsheng Zhang

2013 ◽  
Vol 734-737 ◽  
pp. 3079-3084
Author(s):  
Yin Wen Dong ◽  
Luan Wan ◽  
Zhao Ming Shi ◽  
Jing Xin An

Aiming at anhydrous bridge automatically identification in aerial images, an anhydrous bridge recognition algorithm based on the geometric characteristics is proposed. Firstly, the original image is do threshold segmentation to get binary image. Secondly, binary image is do morphological processed to get bridge area enhanced image and bridge area corrosion image, and these two bridge area are subtracted to extract suspected bridge area based on bridge rectangle feature. Finally, bridge regional area is positioned according to the straight-line characteristics of the bridge. Experimental results show the proposed algorithm can accurately identify the anhydrous bridge effectively. Key words: aerial image; anhydrous bridges identification; edge detection ; straight line extraction ; geometric features


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