DocumentCode
2656727
Title
Pulp fiber corner detection arithmetic based on local curvature function
Author
Hui, Gao ; Shubo, Qiu
Author_Institution
Sch. of Electron. Inf. & Control Eng., Shandong Inst. of Light Ind., Jinan
fYear
2008
fDate
16-18 July 2008
Firstpage
160
Lastpage
163
Abstract
The key problem of fiber shape detection is the orientation of its corner; corner is the pivotal point which determines the shape feature of fiber curve. In order to describe the bent character of pulp fiber image, pulp fiber corner detection arithmetic based on local curvature function was proposed. After extracting edge by Canny operator, the local curvature function of contour was calculated, corners are the peaks of the function and detected by threshold. Experimental results show that the arithmetic is precisely, fast and effectively during the corner detection of pulp fiber. The arithmetic is very stable and robust.
Keywords
edge detection; fibres; paper pulp; Canny operator; bent character; edge extraction; fiber curve; fiber shape detection; local curvature function; pulp fiber corner detection arithmetic; pulp fiber image; Arithmetic; Computer vision; Control engineering; Data mining; Feature extraction; Image edge detection; Image processing; Industrial electronics; Optical fiber theory; Shape; Corner Detection; Feature Extraction; Image Processing; Local Curvature Function; Pulp Fiber;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4604964
Filename
4604964
Link To Document