Title :
A new algorithm for detection of lung boundary
Author :
Kim, Yong-Man ; Jeong, Kee-Sam ; Lee, Myozng-Ho
Author_Institution :
Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea
Abstract :
A solution to the image segmentation problem, especially boundary detection for chest X-ray images, is presented. The properties of the boundary are determined by rescaling and thresholding of the gray-level image, Laplacian filtering, and a contour-following algorithm. A heuristic lung boundary searching algorithm is then used to make a sharp distinction between the lung region and the exterior of the lung. Some experimental results that show the fast and accurate performance of this search algorithm in comparison with others are given
Keywords :
diagnostic radiography; lung; picture processing; Laplacian filtering; chest X-ray images; contour-following algorithm; grey-level image thresholding; heuristic searching algorithm; lung boundary detection algorithm; medical diagnostic imaging; Biomedical imaging; Data mining; Image analysis; Image edge detection; Image segmentation; Lungs; Medical diagnostic imaging; Pattern recognition; Ribs; X-ray imaging;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95779
