Volume & Issue no: Volume 4, Issue 3, May - June 2015
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Title: |
Segmentation of Rotavirus-A Particles in
Microscopic Images Based on Feature Fusion in
Active Contour Model |
Author Name: |
Manjunatha Hiremath , P. S. Hiremath |
Abstract: |
Abstract
The segmentation is the prominent stage in image processing,
where a significant commitment is made during automated
analysis by delineating structures of interest and
discriminating them from background. This separation,
which is generally effortless and swift for the human visual
system, can become a considerable challenge in algorithm
development. In many cases, the segmentation approach
dictates the outcome of the entire analysis, since
measurements and other processing steps are based on
segmented regions. The objective of the present study is to
develop an automatic tool to identify and classify the
Rotavirus-A particles in digital microscopic images based on
fusion of gray level co-occurrence matrix (GLCM) and Gabor
features in active contour model. The Geometric features are
used to identify and classify the Rotavirus-A particle.
Keywords: Active Contour Model (ACM), Gray level cooccurrence
matrix (GLCM), Gabor filters, feature fusion,
segmentation;. |
Cite this article: |
Manjunatha Hiremath , P. S. Hiremath , "
Segmentation of Rotavirus-A Particles in
Microscopic Images Based on Feature Fusion in
Active Contour Model" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 3, May - June 2015 , pp.
158-163 , ISSN 2278-6856.
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