计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (4): 190-192.

• 图形、图像、模式识别 • 上一篇    下一篇

Top-hat和Gabor filter在肺结节ROI自动检测中的应用研究

范立南，李道静，孙申申，常朝海   

  1. 沈阳大学 信息工程学院，沈阳 110044
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2012-02-01 发布日期:2012-04-05

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

FAN Linan, LI Daojing, SUN Shenshen, CHANG Chaohai   

  1. College of Information Engineering, Shenyang University, Shenyang 110044, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-02-01 Published:2012-04-05

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摘要： 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。

关键词: Top-hat滤波器, Gabor filter, 肺结节检测, 计算机辅助检测, 感兴趣区域

Abstract: 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 1ung 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.

Key words: Top-hat filter, Gabor filter, lung nodule detection, computer aided detection, Regions Of Interest（ROI）

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