Study on Method to Dissected Data of Wood Cell Image

Shao Qun Zhang; Wei Xu; Zhao Xin Meng

doi:10.4028/www.scientific.net/AMR.139-141.303

Paper Titles

On Isotropic Damage Distributions and Evolutions of HRR Field
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Quantitative Analysis and Research of Cement Powder Mixing Based on Image Processing
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Research on Characteristics of Deposition Precipitation Process in Production of Low Carbon Aluminum-Killed Steel in FTSR Technology
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Comparison of the Electrochemical Behaviors Among 5083/6082 Friction Stir Welding Dissimilar Weld and Parent Materials
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Study on Method to Dissected Data of Wood Cell Image
p.303

Study on the Ballistic Performance of Ceramic Composite Armor with Different Adhesive
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Accelerating Corrosion Test Study on Galvanized Q345 Steel
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Corrosion Parameters Distribution Rule and Influence Factors of LY12CZ Aluminum Alloy
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Study on the Quality of TA2 Sheet in Laser Bending Deforming Area
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 139-141Study on Method to Dissected Data of Wood Cell...

Study on Method to Dissected Data of Wood Cell Image

Abstract:

Wood cell images are observed by the In-Situ SEM plays a very important role in wood structure. Because of the nature of cell image, automatic segmentation for wood cell image becomes one difficult question. According to the characteristics of image of anatomical structure of wood based on image processing theory, the theory and method of binarization algorithm for image of anatomical structure of wood is presented. The machine vision detecting of edge tracing of wood cell is processed to the binarized wood image. Use this method to dissected Yunnan ormosia and Manchurian ash image of anatomical structure of wood cell, this study provides the theory base for feature abstraction and pattern recognization for the further study on image of anatomical structure of wood