林业科学2011，Vol.47Issue(5)：106-111,6.
基于AOS的扩展C-V模型及背景填充耦合的单板节子缺陷识别
An Inspection for the Veneer Knot Defect Based on Extension of C-V Model and AOS Scheme Coupling with Technique of Painting Background
摘要
Abstract
The features of the defects image of wood veneer are analyzed, an algorithm of veneer knot defect inspection is proposed which based on extension of C-V model and AOS scheme coupling with filling background. Firstly, improved a new level set approach for image segmentation which was proposed by Chan-Vese based on Mumford-Shah, the algorithm could increase the speed of segmentation. Secondly, the approach used AOS scheme, which is unconditional stable, to discrete the level set function. Finally, coupling with the technique of background make a new image which reduced the different characteristics between the target and background. Contrast experimental results show that, this method can fast inspect single knot defect, reveal this coupling method has better segmentation effect than C-V method and improving method. Using multiple level sets as the initial contours of curve evolution, experimental results show that this method could also quickly inspect the image of veneer multi-knot defect and achieve the mutli-object segmentation of veneer knot.关键词
单板节子缺陷图像/扩展的C-V模型/AOS算法/多目标分割/背景填充技术Key words
veneer knot defect image/ extended C-V model/ AOS scheme/ multi-object segmentation/ technique of painting background分类
农业科技引用本文复制引用
王阿川,于琳瑛,曹军..基于AOS的扩展C-V模型及背景填充耦合的单板节子缺陷识别[J].林业科学,2011,47(5):106-111,6.基金项目
黑龙江省自然科学基金项目"基于颜色特征和数学形态学的木质板材缺陷检测的研究"(F200920). （F200920）
