Fusing Shape Information in Lung Segmentation in Chest Radiographs

Authors

Amer Dawoud, University of Southern MississippiFollow

Document Type

Book Chapter

Publication Date

6-9-2010

School

Computing Sciences and Computer Engineering

Abstract

This paper presents an algorithm for the segmentation of lung fields by fusing shape information priors into intensity-based thresholding in an iterative framework. The main contribution is to maximize information utilization by effectively combining intensity information with shape priors. Experimental results performed on publicly available database demonstrate the effectiveness of the algorithm in comparison with other algorithms.

Publication Title

Image Analysis and Recognition

First Page

70

Last Page

78

Recommended Citation

Dawoud, A. (2010). Fusing Shape Information in Lung Segmentation in Chest Radiographs. Image Analysis and Recognition, 70-78.
Available at: https://aquila.usm.edu/fac_pubs/21523