基于特征提取的木板表面缺陷分类

Proceedings II Workshop on Cybernetic Vision Pub Date : 1996-12-09 DOI:10.1109/CYBVIS.1996.629461

M.G. de Andrade, A. Gonzaga

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引用次数: 4

摘要

本研究的目的是将空间灰度依赖法(SGLDM)应用于木板特征提取。这些板用于铅笔生产的工业过程中。在产品质量控制中，纹理在节点、条纹和导致拒收的缺陷方面显示了板材的质量。对结果进行了讨论，并对其在工业装置中的潜在应用进行了评价。

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Feature extraction for defect classification in surfaces of wooden boards

The aim of this work is to apply spatial gray level dependence method (SGLDM) for feature extraction of wooden boards. Those boards are used in industrial process of pencil production. The texture shows the board quality in respect of nodes, stripes, and defects that causes rejection in the product quality control. The results are discussed and the potential application in an industrial plant is evaluated.

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Proceedings II Workshop on Cybernetic Vision

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