An advanced segmentation using area and boundary tracing technique in extraction of lungs region

被引:0
作者
Kiran THAPALIYA [1 ]
SangWoong LEE [2 ]
JaeYoung PYU [1 ]
Heon JEONG [3 ]
GooRak KWON [1 ]
机构
[1] Department of Information and Communication Engineering, Chosun University
[2] School of Computer Engineering, Chosun University
[3] Deparment of Fire, Administration, Chodang University
关键词
bit-plane slicing technique; connected component labeling; area tracing; boundary tracing;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
A new method is presented for the segmentation of pulmonary parenchyma. The proposed method is based on the area calculation of different objects in the image. The main purpose of the proposed algorithm is the segment of the lungs images from the computer tomography(CT) images. The original image is binarized using the bit-plane slicing technique and among the different images the best binarized image is chosen. After binarization, the labeling is done and the area of each label is calculated from which the next level of binarized image is obtained. Then, the boundary tracing algorithm is applied to get another level of binarized image. The proposed method is able to extract lung region from the original images. The experimental results show the significance of the proposed method.
引用
收藏
页码:3811 / 3820
页数:10
相关论文
共 4 条
[1]  
Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs[J] . Russell C. Hardie,Steven K. Rogers,Terry Wilson,Adam Rogers. Medical Image Analysis . 2007 (3)
[2]  
Automated lung segmentation for thoracic CT[J] . Samuel G. Armato,William F. Sensakovic. Academic Radiology . 2004 (9)
[3]  
A unified approach for detection, visualization, and identification of lung abnormalities in chest spiral CT scans[J] . Ayman El-Baz,Aly A Farag,Robert Falk,Renato La Rocca. International Congress Series . 2003
[4]   Computer-aided diagnosis for pulmonary nodules based on helical CT images [J].
Kanazawa, K ;
Kawata, Y ;
Niki, N ;
Satoh, H ;
Ohmatsu, H ;
Kakinuma, R ;
Kaneko, M ;
Moriyama, N ;
Eguchi, K .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 1998, 22 (02) :157-167