Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
Signal Processing for Computer Vision
Signal Processing for Computer Vision
A System for Detection of Internal Log Defects by Computer Analysis of Axial CT Images
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
Vision with Direction: A Systematic Introduction to Image Processing and Computer Vision
An Automatic Method for Counting Annual Rings in Noisy Sawmill Images
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Original paper: Automatic counting of annual rings on Pinus sylvestris end faces in sawmill industry
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture
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Two related methods for automatic estimation of the pith position, i.e., the centre of the annual rings, in wood log end face images are presented. We use images that depict untreated log end faces that are deliberately chosen to include difficulties such as rot, non-circular shape, uncentered pith and dirt. The images are taken with a regular digital camera in sawmill environments. Both presented methods use local orientation and Hough transform to detect the pith position, but two different ways to compute the local orientation are used. The results are promising for both methods. At least one of the methods is fast enough to use on-line at a sawmill.