基于改进SUSAN算法的医学图像边缘检测

Medical image edge detection based on the improved SUSAN algorithm

背景:医学图像的边缘检测是医学图像处理中的一项重要的技术,也是医学图像进一步处理的基础。目的:运用改进的SUSAN算法对医学图像进行边缘检测,取得更丰富的医学图像边缘信息,以便于医学图像的进一步处理。方法:运用Sobel算子对SUSAN算法进行了改进,采用C++语言编程,并在VC++6.0开发平台上实现了改进算法。结果与结论:实验结果表明,该算法能实现阈值的自适应选取,对医学图像中的低对比度的图像边缘有较好的检测效果。

BACKGROUND： Medical image edge detection is an important technology of medical image process, which is also the fou^datior~ of the deeper medical image process. OBJECTIVE： To use improved SUSAN algorithm to detect the medical image edge, so that richer medical image edge will be get and which is benefit for the deeper process of medical images. METHODS： Sobel operator was used to improve the SUSAN algorithm and the C＋＋ programming language was adopted. The improved algorithm was realized based on the VC＋＋6.0 development platform. RESULTS AND CONCLUSION： Experimental results showed that our algorithm could realize the threshold adaptive selection and had a better detection result in low contrast image edge of medical images.