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Automatic Lung Segmentation and Airway Detection Using Adaptive Morphological Operations

  • Anita Khanna
  • N. D. Londhe
  • S. Gupta
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 748)

Abstract

The respiratory system of lungs contains airway trees. The detection and segmentation of airways is a challenging job due to noise, volume effect and non-uniform intensity. We present a novel automatic method of lung segmentation and airway detection using morphological operations. Optimal thresholding combined with connected component analysis gives good results for lung segmentation. We describe a quick method of airway detection with grayscale reconstruction performed on four-connected low-pass filtered image. The results are quite satisfactory with some error due to non-uniform intensity and volume effect in the CT image.

Keywords

Optimal thresholding Connected component analysis Four-connected filter Grayscale reconstruction 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Electrical EngineeringNIT RaipurRaipurIndia

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