Top-hat和Gabor filter在肺结节ROI自动检测中的应用研究

在自动诊断大量带有病变区域的CT图像时，计算机辅助诊断起着重要的作用。提出了一种自动检测肺结节感兴趣区域的方法。对肺实质进行分割；利用Top-hat滤波提取包含血管和结节在内的初始感兴趣区域；用Gabor filter对图像进行第二次处理；对图像进行比对，从而得到更为精确的疑似结节的病灶区域。实验证明该方法能准确完整地提取出感兴趣区域。

Applied research on automatic detection of lung nodules ROI based on Top-hat and Gabor filter

Computer aided diagnosis plays an important role in automatic detection of abnormal shadow area on CT images. The method of an automatic detection of lung nodules Regions Of Interest（ROI） is presented in this paper. The lung areas are segmented from CT images. The first ROI including nodules and blood vessels in lung areas are extracted by Top-hat filter. The second ROI are extracted by Gabor filter. It contrasts the images to get more accurate lesion areas suspected nodule. Experimental results show that the method can accurately extract the complete region of interest.