Wood Materials Defects Detection Using Image Block Percentile Color Histogram and Eigenvector Texture Feature

Weiwei Song; Tianyi Chen; Zhenghua Gu; Wen Gai; Weikai Huang; Bin Wang

Conference ProceedingsOPEN ACCESS

Wood Materials Defects Detection Using Image Block Percentile Color Histogram and Eigenvector Texture Feature

Song W
Chen T
Gu Z
et al.

Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy (2015) 126

DOI: 10.2991/icismme-15.2015.163

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Abstract

a nudtwangbing@163.com Keywords: Wood materials, defects detection, percentile color histogram, singular value decomposition, image block feature, support vector machine (SVM). Abstract.

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APA

Song, W., Chen, T., Gu, Z., Gai, W., Huang, W., & Wang, B. (2015). Wood Materials Defects Detection Using Image Block Percentile Color Histogram and Eigenvector Texture Feature. In Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy (Vol. 126). Atlantis Press. https://doi.org/10.2991/icismme-15.2015.163

Wood Materials Defects Detection Using Image Block Percentile Color Histogram and Eigenvector Texture Feature

Abstract

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