DocumentCode :
3164615
Title :
Corner Detection Based on Morphological Disk Element
Author :
Chang, Xingzhi ; Gao, Liqun ; Li, Yang
Author_Institution :
Northeastern Univ., Shenyang
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
1994
Lastpage :
1999
Abstract :
Corner detection in image processing plays an important role in matching, representation, recognition, registration, and fusion. As one of the template based approaches, the morphological detector has been an interesting research field. But many problems are still under research, such as the element selection, high computation cost, and inaccurate representation of detected corners. In this paper, we propose a new morphological detector, which uses simple symmetric disk element in corner detection to avoid element rotation and improve the running efficiency. As a template based approach, this detector can accomplish the detection without any manual operation. Besides, different from other template based detectors, the detected corner in this approach can be represented with a pixel point, which is more accurate than area representation. The important character of this detector is the ability in estimating corner angle and orientation during the detection. These attributes of the corner have a wide applications in image processing. The performance of the new detector is tested on a set of standard images. Six other detectors are involved to provide comparative performance information. The experiment results prove the superiority of the new detector.
Keywords :
edge detection; image fusion; image matching; image recognition; image registration; image representation; image resolution; corner detection; image fusion; image matching; image processing; image recognition; image registration; image representation; morphological detector; morphological disk element; Cities and towns; Detectors; Educational institutions; Geometry; Image edge detection; Image processing; Image recognition; Information science; Shape measurement; Skeleton;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282506
Filename :
4282506
Link To Document :
بازگشت