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Particle-Size Analysis of Wood Fiber and Powder Based on Image Processing and Recognition

Particle-Size Analysis of Wood Fiber and Powder Based on Image Processing and Recognition

Honge Ren, Jian Zhang, Meng Zhu, Mian Liu
Copyright: © 2018 |Volume: 11 |Issue: 3 |Pages: 14
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781522543220|DOI: 10.4018/JITR.2018070108
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MLA

Ren, Honge, et al. "Particle-Size Analysis of Wood Fiber and Powder Based on Image Processing and Recognition." JITR vol.11, no.3 2018: pp.105-118. http://doi.org/10.4018/JITR.2018070108

APA

Ren, H., Zhang, J., Zhu, M., & Liu, M. (2018). Particle-Size Analysis of Wood Fiber and Powder Based on Image Processing and Recognition. Journal of Information Technology Research (JITR), 11(3), 105-118. http://doi.org/10.4018/JITR.2018070108

Chicago

Ren, Honge, et al. "Particle-Size Analysis of Wood Fiber and Powder Based on Image Processing and Recognition," Journal of Information Technology Research (JITR) 11, no.3: 105-118. http://doi.org/10.4018/JITR.2018070108

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Abstract

This article describes how to realize a wood fiber and powder automatic production and detection, using a mesh detection method based on image processing and particle-size analysis. With this method, the image will be transformed into an HSV color space, segmented based on S component with OSTU; calculated and analyzed with shape factor F, then rectangle fit, and finally the rectangle's length is converted into mesh. During wood flour mesh recognition, this article proposes the use of a rectangle fitting algorithm. In accordance with the actual demand for mesh recognition, a micro-nano wood flour mesh recognition system based on a modular approach has been designed and developed. This is as well as a mesh recognition design program based on wood flour features. The experiments and particle-size analysis results demonstrate that compared with traditional methods, the proposed approach is of higher accuracy and appropriate for extension.

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