Lung Parenchyma Segmentation Based on Contourlet Transform and Harris Corner Detection

This paper presents a new automatic lung segmentation method. Harris corner detection algorithm is used to solve the problem of separating the left lung from the right one, and contourlet transform and mathematical morphology hybrid algorithm are used to solve the problem that the nodules at lung ed...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 333-335; pp. 998 - 1001
Main Authors Huang, He, Fan, Li Nan, Tian, Dan
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.07.2013
Subjects
CT Image
Mathematical Morphology Hybrid Algorithm
Lung Parenchyma Segmentation
Harris Corner Detection
Contourlet Transform
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Summary:This paper presents a new automatic lung segmentation method. Harris corner detection algorithm is used to solve the problem of separating the left lung from the right one, and contourlet transform and mathematical morphology hybrid algorithm are used to solve the problem that the nodules at lung edge is easy to be missed. Through the simulation results of multiple lung CT images, compared with the common algorithms, the results show that the average sensitivity and average accuracy become much better.
Bibliography:Selected, peer reviewed papers from the 2013 2nd International Conference on Measurement, Instrumentation and Automation (ICMIA 2013), April 23-24, 2013, Guilin, China
ISBN:3037857501
9783037857502
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.333-335.998