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齐继阳, 李金燕, 陆震云, 魏赛. 改进的Otsu法在焊接图像分割中的应用[J]. 焊接学报, 2016, 37(10): 97-100.
引用本文: 齐继阳, 李金燕, 陆震云, 魏赛. 改进的Otsu法在焊接图像分割中的应用[J]. 焊接学报, 2016, 37(10): 97-100.
QI Jiyang, LI Jinyan, LU Zhenyun, WEI Sai. Application of improved Otsu algorithm to welding image segmentation[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(10): 97-100.
Citation: QI Jiyang, LI Jinyan, LU Zhenyun, WEI Sai. Application of improved Otsu algorithm to welding image segmentation[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2016, 37(10): 97-100.

改进的Otsu法在焊接图像分割中的应用

Application of improved Otsu algorithm to welding image segmentation

  • 摘要: 为把焊缝区域准确地从焊接图像中分离出来,以便进行焊接质量的在线分析,本文针对焊接图像灰度级多、信息量大、对比度低、图像部分细节模糊等特点提出了一种新的改进的Otsu法,在考虑类间方差和类内方差对图像分割效果影响的基础上,用方差信息代替均值信息,构建了焊接图像分割阈值算法,用以提高焊接图像的分割质量和图像实时处理的速度.实验结果表明,本文所提出的算法达到了很好的焊接图像分割效果,图像分割耗时短,相对于目前的图像分割方法具有明显的优越性,是一种有效的焊接图像阈值分割方法.

     

    Abstract: Because the welding image has too much gray level and information and serious interference from the arc, splash and others which reduces welding image contrast and blurs some image details, a newly-improved Otsu algorithm was proposedto accurately extract weld seam region from welding image.By replacing the mean value with variance, the algorithm was foundedto improve the image segmentation quality and reduce processing time, and the interclass variance and intraclass variance were also taken into considerations. The experimental results show that the proposed algorithm achieves good welding image segmentation effect with the less time. Compared with the other algorithms, it has obvious advantage and it is an effective and efficient algorithmof welding image segmentation.

     

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