Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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An Efficient Extraction of Pulmonary Parenchyma in CT Images using Connected Component Labeling

  • Thapaliya, Kiran (Department of Information and Communication Engineering, Chosun university) ;
  • Park, Il-Cheol (Department of Information and Communication Engineering, Chosun university) ;
  • Kwon, Goo-Rak (Department of Information and Communication Engineering, Chosun university)
  • Received : 2011.09.22
  • Accepted : 2011.10.15
  • Published : 2011.12.31
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Abstract

This paper presents the method for the extraction of the lungs part from the other parts for the diagnostic of the lungs part. The proposed method is based on the calculation of the connected component and the centroid of the image. Connected Component labeling is used to label the each objects in the binarized image. After the labeling is done, centroid value is calculated for each object. The filing operation is applied which helps to extract the lungs part from the image retaining all the parts of the original lungs image. The whole process is explained in the following steps and experimental results shows it's significant.

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References

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