Classification of wood surfaces according to visual appearance by multivariate analysis of wood feature data-Reference-Cited by-同舟云学术

Classification of wood surfaces according to visual appearance by multivariate analysis of wood feature data

Published:2014-12-05 Issue:2 Volume:61 Page:89-112
ISSN:1435-0211
Container-title:Journal of Wood Science
language:en
Short-container-title:J Wood Sci

Author:

Breinig Lorenz,Leonhart Rainer,Broman Olof,Manuel Andreas,Brüchert Franka,Becker Gero

Publisher

Springer Science and Business Media LLC

Subject

Biomaterials

Link

http://link.springer.com/content/pdf/10.1007/s10086-014-1410-6.pdf

Reference15 articles.

1. Broman NO (2000) Means to measure the aesthetic properties of wood. Doctoral thesis 2000:26, Luleå University of Technology, Luleå, Sweden

2. Bumgardner MS, Bush RJ, West CD (2001) Knots as incongruent product feature: a demonstration of the potential for character-marked hardwood furniture. J I Wood Sci 15:327–335

3. Donovan G, Nicholls D (2003) Consumer preferences and willingness to pay for character-marked cabinets from Alaska birch. Forest Prod J 53:27–32

4. Nyrud AQ, Roos A, Rødbotten M (2008) Product attributes affecting consumer preference for residential deck materials. Can J For Res 38:1385–1396

5. Høibø O, Nyrud AQ (2010) Consumer perception of wood surfaces: the relationship between stated preferences and visual homogeneity. J Wood Sci 56:276–283

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Multimodal Fusion of Visual and Auditory Features for Robust Material Recognition;INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL;2024-09-02

2. Algorithm for automatic optimizing cross-cut saw based on computer vision techniques;Engineering Research Express;2023-10-16

3. Improved ResNet-50 model for identifying defects on wood surfaces;Signal, Image and Video Processing;2023-03-03

4. Predicting Douglas-fir knot size in the stand: a random forest model based on CT and field measurements;Wood Science and Technology;2021-10-17

5. Product-adapted grading of Scots pine sawn timber by an industrial CT-scanner using a visually-trained machine-learning method;Wood Material Science & Engineering;2021-07-04