Liver and Tumor Segmentation Techniques for CT Abdominal Images
Hema N1, Laxmidevi Noolvi2, M V Sudhamani3

1Hema N, Assistant Professor, ISE, RNSIT, Bengaluru (Karnataka), India.

2Laxmidevi Noolvi, Full Time Research Scholar, Department of CSE, RNSIT, Bengaluru (Karnataka), India.

3Dr. M V Sudhamani, ISE, RNSIT, Bengaluru (Karnataka), India.

Manuscript received on 06 December 2019 | Revised Manuscript received on 14 December 2019 | Manuscript Published on 31 December 2019 | PP: 555-560 | Volume-9 Issue-2S December 2019 | Retrieval Number: B10511292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1051.1292S19

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (

Abstract: Image segmentation is one of the important step in digital image processing where the images are partitioned into different segments based on several properties like brightness, contrast, intensity and texture. Image processing includes several steps among which image segmentation is the difficult task. Accurate segmentation is the fundamental step in digital image processing. Segmentation can be performed manually, but as it is a tedious task, automatic segmentation techniques which gives more accuracy has to be found. Many recent segmentation techniques for liver image segmentation are discussed here. Some of the techniques to segment liver from CT scanned abdominal image and to segment tumor from the liver are discussed. The main objective is to highlight various techniques which can aid in developing a novel segmentation technique.

Keywords: Abdominal Image, Liver, Enhancement, Segmentation, CT Scan Images.
Scope of the Article: Image Security