• DocumentCode
    1661107
  • Title

    Applied Research on the Automatic Detection of Lung Nodules ROI Based on Top-Hat and Gabor Filter

  • Author

    Fan Li-nan ; Li Dao-jing ; Sun Shen-shen ; Chang Chao-hai

  • Author_Institution
    Coll. of Inf. Eng., Shenyang Univ., Shenyang, China
  • fYear
    2010
  • Firstpage
    533
  • Lastpage
    536
  • 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. Firstly, the lung areas are segmented from CT images. Then, the initial ROI including nodules and blood vessels in lung areas are extracted by Top-hat filter. Thirdly, the second ROI are extracted by Gabor filter. Finally, compare the images to get more accurate lesion areas suspected nodules. Experimental results show that the method can extract the region of interest accurately and completely.
  • Keywords
    Gabor filters; computerised tomography; feature extraction; image segmentation; medical image processing; CT images; Gabor filter; Top-hat filter; automatic detection; blood vessels; computer aided diagnosis; lung nodules regions of interest; Cancer; Filter bank; Frequency domain analysis; Gabor filters; Image segmentation; Lungs; Optical filters; Gabor filter; ROI; Top-hat filter; computer aided detection; nodule detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing (ISIP), 2010 Third International Symposium on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8627-4
  • Type

    conf

  • DOI
    10.1109/ISIP.2010.70
  • Filename
    5669090