Image segmentation for lung region in chest X-ray images using edge detection and morphology

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Studies of medical image segmentation have long been done as a mean to distinguish object region from one to another for further image analysis. The segmentation of lung region in chest X-ray (CXR) based on object edge detection is one of the popular method applied. Early edge detection algorithms like Sobel, Prewitt and Laplacian have been used to segment the lung however, none of them can successfully generate a truly satisfied segmentation output. The reason for this fail is because they are high pass filter that is sensitive to image noise. Hence, the requirement for better edge detection algorithm that can cope with reasonable lower and upper threshold value for image noise like canny edge should be highlighted. Moreover, combining this algorithm with morphology method (dilation and erosion) will produce better outcome. Therefore, this paper has proposed method for segmenting lung region in CXR images using canny edge filter and morphology. Although the filter can detect the lung edge, unfortunately, the final edges lines produce are still unsatisfied. To solve the problem, Euler number method is applied to extract the lung region before executing the edge detection using the filter. The implementation produced convincing result as most of the segmented image is almost similar to the ground truth image.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-51
Number of pages6
ISBN (Print)9781479956869
DOIs
Publication statusPublished - 30 Mar 2014
Event4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 - Batu Ferringhi, Penang, Malaysia
Duration: 28 Nov 201430 Nov 2014

Other

Other4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
CountryMalaysia
CityBatu Ferringhi, Penang
Period28/11/1430/11/14

Fingerprint

Edge detection
Image segmentation
X rays
High pass filters
Image analysis
Erosion

Keywords

  • canny edge filter
  • chest x-ray image
  • Euler number
  • Image segmentation
  • morphology method

ASJC Scopus subject areas

  • Artificial Intelligence
  • Signal Processing
  • Control and Systems Engineering

Cite this

Saad, M. N., Muda, Z., Sahari @ Ashaari, N., & Abdul Hamid, H. (2014). Image segmentation for lung region in chest X-ray images using edge detection and morphology. In Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 (pp. 46-51). [7072687] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSCE.2014.7072687

Image segmentation for lung region in chest X-ray images using edge detection and morphology. / Saad, Mohd Nizam; Muda, Zurina; Sahari @ Ashaari, Noraidah; Abdul Hamid, Hamzaini.

Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 46-51 7072687.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saad, MN, Muda, Z, Sahari @ Ashaari, N & Abdul Hamid, H 2014, Image segmentation for lung region in chest X-ray images using edge detection and morphology. in Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014., 7072687, Institute of Electrical and Electronics Engineers Inc., pp. 46-51, 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014, Batu Ferringhi, Penang, Malaysia, 28/11/14. https://doi.org/10.1109/ICCSCE.2014.7072687
Saad MN, Muda Z, Sahari @ Ashaari N, Abdul Hamid H. Image segmentation for lung region in chest X-ray images using edge detection and morphology. In Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 46-51. 7072687 https://doi.org/10.1109/ICCSCE.2014.7072687
Saad, Mohd Nizam ; Muda, Zurina ; Sahari @ Ashaari, Noraidah ; Abdul Hamid, Hamzaini. / Image segmentation for lung region in chest X-ray images using edge detection and morphology. Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 46-51
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