Detection and sizing visual features in wood using tonal measures and a classification algorithm
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2013, Expert Systems with ApplicationsCitation Excerpt :In Section 5 we present the experimental activity followed by results (Section 6) and conclusions (Section 7). The first applications of computer vision to the wood industry date back to the 1980s (Conners, McMillin, & Lin, 1983; Sobey & Semple, 1989). Literature review shows that, since then, research has mostly focused on the problem of grading.
Image segmentation algorithms applied to wood defect detection
2003, Computers and Electronics in AgricultureWeb surface defect segmentation based on stationary wavelet transform
2012, Advanced Materials ResearchEffect of sensor quantity on measurement accuracy of log inner defects by using stress wave
2007, Journal of Forestry ResearchWood defect detection using grayscale images and an optimized feature set
2006, IECON Proceedings (Industrial Electronics Conference)Web surface defect inspection based on singularity detection
2006, Proceedings of IEEE ICIA 2006 - 2006 IEEE International Conference on Information Acquisition
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