DocumentCode
3099734
Title
Pore Feature Segmentation Based on Mathematical Morphology
Author
Qi, Ueng-nian ; Feng-Nong Chen ; Ma, Ling-fei
Author_Institution
Zhejiang Forestry Univ., Hangzhou
fYear
2007
fDate
5-8 Nov. 2007
Firstpage
2474
Lastpage
2477
Abstract
Wood identification is a foundation of wood science and industry. The arrangement-of-pore (AOP) of wood cross-section is a important wood identification feature. The paper applies mathematical morphology methods such as dilation and erosion, open and close transform to wood cross-section image repairing, noise filtering and edge detection, thereby obtaining AOP feature. The study is a beneficial attempt to intelligent wood identification based on image processing technology.
Keywords
edge detection; image segmentation; wood; dilation; edge detection; erosion; mathematical morphology; noise filtering; pore feature segmentation; wood cross-section image repairing; wood identification; Electronics industry; Feature extraction; Filtering; Forestry; Image processing; Industrial Electronics Society; Microscopy; Morphology; Notice of Violation; Wood industry; Feature extraction; Mathematical morphology; Pore; Wood identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Conference_Location
Taipei
ISSN
1553-572X
Print_ISBN
1-4244-0783-4
Type
conf
DOI
10.1109/IECON.2007.4460248
Filename
4460248
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