In order to realize automatic weld seam tracking for pipeline ultrasonic flaw inspection, an image processing algorithm based on HSI color space was presented. Since the color tones of weld seam were different from th...In order to realize automatic weld seam tracking for pipeline ultrasonic flaw inspection, an image processing algorithm based on HSI color space was presented. Since the color tones of weld seam were different from the parent metal, weld seam images were transformed to HSI color space. In the HSl colar space, the weld seam and base metal area can be apparently distinguished. By using this image processing algorithm, the edges and centerline of pipeline weld seam can be correctly extracted. An industrial application system was developed based on the image processing algorithm, and the image processing time is less than 70 ms and the accuracy of weld seam recognition is better than 2mm.展开更多
为了促进冰雹灾害等级评估工作的高效进行,提出一种测量冰雹特征参数的方法。该方法统计冰雹图片的HSI颜色范围,用先验的颜色范围来分割出冰雹并通过形态学滤除噪声,针对冰雹颗粒粘连情况运用基于分水岭算法分割边界。分别采用统计像素...为了促进冰雹灾害等级评估工作的高效进行,提出一种测量冰雹特征参数的方法。该方法统计冰雹图片的HSI颜色范围,用先验的颜色范围来分割出冰雹并通过形态学滤除噪声,针对冰雹颗粒粘连情况运用基于分水岭算法分割边界。分别采用统计像素法、Freeman链码和改进的最小外接矩形法来测量冰雹颗粒的面积、周长和直径并与相关算法进行了实验比较。实验结果表明该方法精准度高、相关性较好,冰雹周长、面积和直径的均方根误差(Root Mean Square Error,RMSE)分别为0.2081 cm、0.2124 cm 2和0.9314 cm,决定系数(R 2)分别为0.8814、0.8736和0.9314,测量值平均误差在2%~6%之间。研究结果可为冰雹灾害相关的研究者提供准确的数据参考。展开更多
文摘In order to realize automatic weld seam tracking for pipeline ultrasonic flaw inspection, an image processing algorithm based on HSI color space was presented. Since the color tones of weld seam were different from the parent metal, weld seam images were transformed to HSI color space. In the HSl colar space, the weld seam and base metal area can be apparently distinguished. By using this image processing algorithm, the edges and centerline of pipeline weld seam can be correctly extracted. An industrial application system was developed based on the image processing algorithm, and the image processing time is less than 70 ms and the accuracy of weld seam recognition is better than 2mm.
文摘为了促进冰雹灾害等级评估工作的高效进行,提出一种测量冰雹特征参数的方法。该方法统计冰雹图片的HSI颜色范围,用先验的颜色范围来分割出冰雹并通过形态学滤除噪声,针对冰雹颗粒粘连情况运用基于分水岭算法分割边界。分别采用统计像素法、Freeman链码和改进的最小外接矩形法来测量冰雹颗粒的面积、周长和直径并与相关算法进行了实验比较。实验结果表明该方法精准度高、相关性较好,冰雹周长、面积和直径的均方根误差(Root Mean Square Error,RMSE)分别为0.2081 cm、0.2124 cm 2和0.9314 cm,决定系数(R 2)分别为0.8814、0.8736和0.9314,测量值平均误差在2%~6%之间。研究结果可为冰雹灾害相关的研究者提供准确的数据参考。
