Liver Segmentation using Bidirectional Region Growing with Edge Enhancement in NSCT Domain

B. Lakshmipriya, K. Jayanthi, Biju Pottakkat, G. Ramkumar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Segmentation of liver from abdominal CT image seems to be a challenging task in the computer aided diagnosis of liver pathology. This is due to the fact that liver and the adjacent organs in the CT image possess similar intensity attributes. In this work, a semi-Automatic segmentation of liver is carried out through bidirectional region based segmentation. Prior to segmentation, the edge regions of the liver are enhanced by means of unsharp masking in Non Sub-sampled Contourlet Transform (NSCT) domain. This ensures that there is a precise differentiation between the liver region and the adjacent organs and other structures like ribs. From the acquired results, it is clear that the combination of bidirectional region growing segmentation and edge enhancement in NSCT domain outperforms the segmentation by region growing algorithm and bidirectional region growing algorithm without edge enhancement.

Original languageEnglish
Title of host publication2018 IEEE International Conference on System, Computation, Automation and Networking, ICSCA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538648667
DOIs
StatePublished - Nov 20 2018
Externally publishedYes
Event2018 IEEE International Conference on System, Computation, Automation and Networking, ICSCA 2018 - Pondicherry, India
Duration: Jul 6 2018Jul 7 2018

Publication series

Name2018 IEEE International Conference on System, Computation, Automation and Networking, ICSCA 2018

Conference

Conference2018 IEEE International Conference on System, Computation, Automation and Networking, ICSCA 2018
Country/TerritoryIndia
CityPondicherry
Period07/6/1807/7/18

Funding

This work is supported by the University Commission (UGC), India under Minor Research scheme. [Grant No.F 6684/16].

FundersFunder number
University Commission
University Grants Committee

    Keywords

    • Bidirectional region growing
    • Edge enhancement
    • Non sub-sampled contourlet transform
    • Segmentation

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