减影技术在射线图像分割与提取中的应用

Application of subtraction technique in radiographic image segmentation and extraction

将缺陷信息正确提取和分割出来是射线检测中的重要环节。为了使分割算法更加自动、快速、精准,本文把减影技术应用到图像分割中来。首先利用形态学模拟图像背景,然后利用数字减影法提取缺陷目标。对几种阈值化方法进行分析,比较各种方法的基本思想,优缺点及使用范围,最终提出选择迭代分割方法得到图像最佳阈值将图像二值化。实验结果表明,针对不同的缺陷均能得到轮廓清晰的分割效果,为缺陷特征参数的提取和识别的实现打下坚实的基础。

An important step is how to extract and segment the information of defects from inspective image. This paper introduces a digital subtraction into image segmentation in order to make the algorithm simpler, more automatic, high-speed, and accurate. Morphology is proposed in the study of flaw extraction technique. Therefore, the area of flaw and background can be removed successfully. The present study analyses several methods for threshold selection, and the basic idea of various methods as well as their advantages and drawbacks are critically reviewed. The experimental results indicate that both of methods can accomplish defect extraction and segmentation automatically,which will lay a good foundation for flaw feature parameter extraction and recognition.