计算机工程与应用2011，Vol.47Issue(8)：211-214,235,5.DOI:10.3778/j.issn.1002-8331.2011.08.062
木材缺陷识别新方法——改进C-V模型与小波变换
New method of lumber recognition using improved C-V model and wavelet transform
摘要
Abstract
Through analysing the features of lumber defects and the wood veneer,this paper proposes an algorithm of lumber recognition based on improved C-V model,wavelet transform and technique of painting background.The symlet5 wave is used to transform the original image into the primary two-dimension image which can get the high frequency details and the low component.The technique of painting background is used on the low component to make a new image, the improved C-V model is used respectively on the components.It uses the two-dimension wavelet to recover the image and the Gauss filtering on the image which can get the result.关键词
木材缺陷/改进的C-V模型/小波变换/多目标分割/背景填充技术Key words
lumber defects/improved C-V model/wavelet transform/multi-object segmentation/technique of painting background分类
信息技术与安全科学引用本文复制引用
王阿川,仇逊超..木材缺陷识别新方法——改进C-V模型与小波变换[J].计算机工程与应用,2011,47(8):211-214,235,5.基金项目
黑龙江省自然科学基金(the Natural Science Foundation of Heilongjiang Province of China under Grant No.F200920). （the Natural Science Foundation of Heilongjiang Province of China under Grant No.F200920）
