Title :
An advanced segmentation using bit-plane slicing technique in extraction of lungs region
Author :
Kiran, Thapaliya ; Kwon, Goo-Rak
Author_Institution :
Dept. Infomation & Commun. Eng., Chosun Univ., Gwangju, South Korea
Abstract :
This paper presents the new method for the segmentation of pulmonary parenchyma. The proposed method is based on the bit-plane slicing technique. The original image is binarized using the bit-plane technique and among the different images the best binarized image is chosen. After the image is binarized, the labeling is done and the area of each label is calculated from which we obtained the next level of binarized image. Then the boundary tracing algorithm is applied to get the binarized image. The following steps show the automatic extraction of lungs area and experimental results has proved it´s significant.
Keywords :
feature extraction; lung; medical image processing; advanced segmentation; bit-plane slicing technique; boundary tracing algorithm; image processing; lungs region extraction; pulmonary parenchyma; Biological system modeling; Biomedical imaging; Computational modeling; Computer languages; Image segmentation; Labeling; Mathematical model; Area; Bit-Plane Slicing Technique; Boundary Tracing; Connected Component Labeling;
Conference_Titel :
Internet (AH-ICI), 2011 Second Asian Himalayas International Conference on
Conference_Location :
Kathmandu
Print_ISBN :
978-1-4577-1087-2
DOI :
10.1109/AHICI.2011.6113949