关键词: 木材缺陷, 扩展C-V彩色模型, 加性算子分裂（AOS）算法, 单板缺陷分割, 背景填充

Abstract: The features of the defects image of wood knot are analyzed, and processing vector image as a whole one to protect its information, an algorithm of wood knot defect segmentation is proposed, based on extension of C-V vector model and AOS scheme coupling with filling background. A new level set approach is improved for vector image segmentation which is proposed by Chan-Vese based on Mumford-Shah, and the algorithm can increase the speed of segmentation. The AOS scheme is adopted to improve the original model of difference scheme, which is unconditional stable difference scheme. Combined with the technique of background a new image is made which reduces the different characteristics between the target and background. The experiment results show that, this method not only makes segmentation of the dead knot, live knot, burrow and veneer multi-knot defect images better, but also provides a new idea and method to edge segmentation of wood defect.

Key words: wood defect, extended C-V vector model, Additive Operator Splitting（AOS） scheme, veneer knot defect segmentation, painting background