Segmentation of Liver from CT Abdomen using K-Means and Morphological Operations

Authors

  • Kiruthika S Research Scholar, Bharathiar University, Coimbatore
  • Kaspar Raj I Computer Centre, Gandhigram Rural Institute (Deemed to be University), Dindigul

Keywords:

CT Liver, K-means, Liver Segmentation, Morphology

Abstract

Liver plays a vital role in human body. In the present scenario, Liver related diseases affect large number of peoples in India. Segmentation of liver image from computed tomography helps in disease diagnosis and making pre-planning decisions for hepatic surgery. This paper presents a segmentation method with the combination of K-means clustering, thresholding and morphological operations. The proposed segmentation scheme is applied on a 2-dimentional computed tomography abdominal image and the experimental result is evaluated using Dice similarity co-efficient and the measure is 94.46% against gold standard image.

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Published

2025-11-25

How to Cite

[1]
S. Kiruthika and I. Kaspar Raj, “Segmentation of Liver from CT Abdomen using K-Means and Morphological Operations”, Int. J. Comp. Sci. Eng., vol. 7, no. 5, pp. 167–171, Nov. 2025.

Issue

Vol. 7 No. 5 (2019): IJCSE Special Issue Mar Edition

Section

Research Article

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