Image segmentation for wheel set measurement based on region growing

Shi Qian; Wu Kaihua

doi:10.11834/jig.20120911

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Image segmentation for wheel set measurement based on region growing
Vol. 17, Issue 9, Pages: 1122-1127(2012)
Published：2012
DOI： 10.11834/jig.20120911
稿件说明：

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DOI：

Shi Qian, Wu Kaihua. Image segmentation for wheel set measurement based on region growing[J]. Journal of Image and Graphics, 2012, 17(9): 1122-1127. DOI： 10.11834/jig.20120911.

摘要

轮对作为列车的重要组成部分

其踏面磨耗参数的在线检测对保障轨道交通安全具有重要意义。在基于光截图像测量技术的轮对外形尺寸动态检测中

能否获取完整的轮对轮廓图像至关重要。针对轮对图像特点

提出一种基于区域生长的轮对图像分割新算法。该算法根据不同情况下轮对图像特点

通过基点位置选取恰当的种子点

并确定合适的生长准则。经过区域生长

有效地提取轮对轮廓图像。通过大量图像验证

该算法分割结果图的交迭面积比大于80%

误分面积比小于0.02%。可以在多种情况下有效地提取轮对轮廓曲线

具有良好的抗噪能力。

Abstract

The wheel set is the major running component of a train. Online measurement of wheel set wear parameters is important for train safety. Acquiring a completely structured light projection image is important to wheel set profile dynamic inspection method.We develop a new image segmentation algorithm based on region growing. According to the characteristics of wheel set images acquired in different conditions and the location of their base points

a new growth standard of the algorithm is proposed. The wheel set profile images are extracted effectively through proper seed selection and growth process. By processing a series of images with severe noise and external disturbances

the overlap area ratio is more than 80%

and the error segmentation area ratio is less than 0.02%. The wheel set profile curves can be extracted effectively based on the new algorithm.