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
Link To Document