DocumentCode :
3022831
Title :
A New Right Angle Corner Detection Method
Author :
Min, Wang ; Xiaolian, Deng
Author_Institution :
Coll. of Sci., China Three Gorges Univ., Yichang, China
Volume :
2
fYear :
2009
fDate :
7-8 Nov. 2009
Firstpage :
28
Lastpage :
30
Abstract :
Right angle corner detection is important for wide range of image processing and machine vision application. A new way of right angle corner detecting is proposed. Inspired from the description of feature points in SUSAN operator and the definition of membership degree in fuzzy theory, the new algorithm is discussed. The analysis and schemes are verified by experiment. The windfall gain is that the other kinds of corner can be obtained by changing the parameter according to different requirements, which is also confirmed by experiment at the end of this paper.
Keywords :
edge detection; fuzzy set theory; SUSAN operator; fuzzy theory; image processing; machine vision application; right angle corner detection method; smallest univalue segment assimilating nucleus; Artificial intelligence; Brightness; Computational intelligence; Computer vision; Educational institutions; Humans; Image processing; Image segmentation; Machine vision; Pixel; SUSAN; corner detection; cut set; membership degree; right angle corner;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
Type :
conf
DOI :
10.1109/AICI.2009.221
Filename :
5376367
Link To Document :
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