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