Title :
Pore Feature Segmentation Based on Mathematical Morphology
Author :
Qi, Ueng-nian ; Feng-Nong Chen ; Ma, Ling-fei
Author_Institution :
Zhejiang Forestry Univ., Hangzhou
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;
Conference_Titel :
Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE
Conference_Location :
Taipei
Print_ISBN :
1-4244-0783-4
DOI :
10.1109/IECON.2007.4460248