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.
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