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Segmentation of defects on the tree log surface remains a challenge due to the unclear seperation between the foreground and the background and the high variability of the tree surface. Even if some first works exist to process specific tree species, a generic method robust to various species is missing. We propose a new approach for segmenting defects on log surface based on the tabular object analysis...
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