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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 4, ISSUE 9, SEPTEMBER 2015

Bio-Medical Image Enhancement using Counter Let Transformation & Bacterial Foraging Optimization

Er. Gurpinder Kaur, Er. Aashima

DOI: 10.17148/IJARCCE.2015.4986

Abstract: Medical imaging is the technique and process of creating visual representations of the interior of a body for clinical analysis and medical intervention. This transformation use different decomposition filters and reconstruction filters for the process of image enhancement. Contour let transformation & BFOA Algorithm is used in this work. The contour let transformation has been used for the process of image enhancement. The contour let utilize LP and FB decomposition filter to divide the image into different segments. These segments have been enhanced independently using different contour let transformation equations. After the implementation of contour let transformation the BFO algorithm is implemented for optimization process.



Keywords: Medical Image Enhancement, Counter let Transformation, BFOA, PSNR, MSE, EPI, Co-relation.

How to Cite:

[1] Er. Gurpinder Kaur, Er. Aashima, “Bio-Medical Image Enhancement using Counter Let Transformation & Bacterial Foraging Optimization,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2015.4986