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改进的Zernike矩工业CT图像边缘检测

陶李 王珏 邹永宁 伍立芬 王慧倩

陶李, 王珏, 邹永宁, 伍立芬, 王慧倩. 改进的Zernike矩工业CT图像边缘检测[J]. 中国光学(中英文), 2012, 5(1): 48-56. doi: 10.3788/CO.20120501.0048
引用本文: 陶李, 王珏, 邹永宁, 伍立芬, 王慧倩. 改进的Zernike矩工业CT图像边缘检测[J]. 中国光学(中英文), 2012, 5(1): 48-56. doi: 10.3788/CO.20120501.0048
TAO Li, WANG Jue, ZOU Yong-ning, WU Li-fen, WANG Hui-qian. Improved Zernike moment method for industrial CT image edge detection[J]. Chinese Optics, 2012, 5(1): 48-56. doi: 10.3788/CO.20120501.0048
Citation: TAO Li, WANG Jue, ZOU Yong-ning, WU Li-fen, WANG Hui-qian. Improved Zernike moment method for industrial CT image edge detection[J]. Chinese Optics, 2012, 5(1): 48-56. doi: 10.3788/CO.20120501.0048

改进的Zernike矩工业CT图像边缘检测

基金项目: 

国家自然科学基金资助项目(No.60972104);中央高校基本科研业务费科研专项"研究生科技创新基金"资助项目(No.CDJXS11171159)

详细信息
  • 中图分类号: TP391.4

Improved Zernike moment method for industrial CT image edge detection

  • 摘要: 为提高工业计算机断层扫描(CT)图像亚像素边缘检测的精度和速度,研究了一种改进的Zernike矩边缘检测方法。该方法采用Sobel边缘算子快速检测出图像所有可能的边缘,通过Zernike矩算子对所有可能的边缘进行重新检测,最后,检测出图像的亚像素边缘并计算其精确位置。由于采用Sobel算子检测出可能的边缘使后续Zernike矩算子检测范围缩小,从而减小了运算量,提高了运算速度。对实际CT图像进行的实验结果表明:改进的Zernike矩工业CT图像边缘检测精度绝对误差0.24 pixel,改进算法的运算速度提高了约70%。

     

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出版历程
  • 收稿日期:  2011-09-21
  • 修回日期:  2011-11-23
  • 刊出日期:  2012-02-10

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