计算机工程 ›› 2013, Vol. 39 ›› Issue (4): 22-26,35.doi: 10.3969/j.issn.1000-3428.2013.04.006

• 专栏 • 上一篇    下一篇

基于改进轮廓模型的单板缺陷图像快速识别

王阿川1a,曹 琳1b,2,曹 军1b   

  1. (1. 东北林业大学 a. 信息与计算机工程学院;b. 机电工程学院,哈尔滨 150040; 2. 中国化工经济技术发展中心,北京 100723)
  • 收稿日期:2012-05-04 出版日期:2013-04-15 发布日期:2013-04-12
  • 作者简介:王阿川(1964-),男,教授、博士,主研方向:计算机视觉;曹 琳,博士研究生;曹 军,教授、博士、博士生导师
  • 基金项目:

    黑龙江省教育厅基金资助项目(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)

Fast Recognition of Veneer Defect Image Based on Improved Contour Model

WANG A-chuan 1a, CAO Lin 1b,2, CAO Jun 1b   

  1. (1a. Information and Computer Engineering College; 1b. College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China; 2. Economic and Technology Development Center of China Chemical Industry, Beijing 100723, China)
  • Received:2012-05-04 Online:2013-04-15 Published:2013-04-12

摘要:

针对纹理及复杂背景干扰下的木材单板缺陷识别问题,结合几何活动轮廓模型和无边活动轮廓模型各自的优点,提出一个改进的活动轮廓模型。采用对偶化的带权TV范数进行求解,得到该模型的快速实现算法。实验结果证明,该模型可实现复杂纹理背景下单板多节子目标的检测,算法计算量较小,单板缺陷的识别速度较快。

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

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.

Key words: wood veneer, active contour, multiple target recognition, duality method, complex background

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