计算机工程2013，Vol.39Issue(4)：22-26,35,6.DOI:10.3969/j.issn.1000-3428.2013.04.006
基于改进轮廓模型的单板缺陷图像快速识别
Fast Recognition of Veneer Defect Image Based on Improved Contour Model
摘要
Abstract
Aiming at the problem of wood veneer defect recognition with a texture,noise jamming and complex background,this paper proposes an improved active contour model.This model is combined with the respective advantages of the Geometric Active Contour(GAC) model and the active contours without edges model.It solves the model with a dual formulation of the weighted TV-norm and obtains a fast algorithm.Experimental results show that the model can be competent for the detection of veneer which contains multi knots and complex texture background.The algorithm has less computation,faster identification of veneer defects.关键词
木材单板/活动轮廓/多目标识别/对偶化方法/复杂背景Key words
wood veneer/ active contour/ multiple target recognition/ duality method/ complex background分类
信息技术与安全科学引用本文复制引用
王阿川,曹琳,曹军..基于改进轮廓模型的单板缺陷图像快速识别[J].计算机工程,2013,39(4):22-26,35,6.基金项目
黑龙江省教育厅基金资助项目(12513008) （12513008）
中国石油和化学工业联合会基金资助项目"基于红外技术的油页岩制油气反应炉温度监控技术研究"(2011-13-01) （2011-13-01）
