A Novel ASNO Segmentation Technique for Segmenting the JUXTA Vascular Region

Authors

  • Arun B. Mathews
  • M M.K. Jeyakumar

DOI:

https://doi.org/10.14419/ijet.v7i3.27.17652

Published:

2018-08-15

Keywords:

Lung tumour, improved linear iterative clustering, adjustable surface normal overlap, JUXTA vascular region.

Abstract

In this modern era the clinical laboratory has greater attention to produce an accurate result for every test particularly in the area of lung tumour. The lung tumour is very essential to detect as well as to follow the treatment of many diseases like benign, malignant etc. This paper is focusing on the segmentation part to find the juxta vascular region. For finding the juxta vascular region in lung three stages are used. First stage is the image acquisition here input lung image is read and then resized. Second stage is the image pre-processing here improved linear iterative clustering technique is used .Third stage is the segmentation here the adjustable surface normal overlap is used. While using the above stages the output for juxta vascular region in the segmentation part is segmented clearly.

The juxta vascular region is not clearly found in the previous paper. The research gap for this paper is to find the juxta vascular region in the lung. This juxta vascular region is present in the right side of the lung. Using the Adjustable Surface Normal Overlap (ASNO) segmentation the juxta vascular region is segmented clearly.

 

 

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