Research Article
Medical Image Enhancement Optimizing Contourlet Transformation by using PSO Approach
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 142 - Issue 2 |
| Published: May 2016 |
| Authors: Ritika Madaan, Satish Saini |
10.5120/ijca2016909680
|
Ritika Madaan, Satish Saini . Medical Image Enhancement Optimizing Contourlet Transformation by using PSO Approach. International Journal of Computer Applications. 142, 2 (May 2016), 7-13. DOI=10.5120/ijca2016909680
@article{ 10.5120/ijca2016909680,
author = { Ritika Madaan,Satish Saini },
title = { Medical Image Enhancement Optimizing Contourlet Transformation by using PSO Approach },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 142 },
number = { 2 },
pages = { 7-13 },
doi = { 10.5120/ijca2016909680 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Ritika Madaan
%A Satish Saini
%T Medical Image Enhancement Optimizing Contourlet Transformation by using PSO Approach%T
%J International Journal of Computer Applications
%V 142
%N 2
%P 7-13
%R 10.5120/ijca2016909680
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image contrast enhancement is a feature for the enhancement of image. Images contrast is a feature which has been utilize for the proper visualization of image. The nuclei of the hydrogen atoms in the biological tissue adjusts themselves to the magnetic field, afterwards a radio-magnetic pulse will raise their energy level further, when the pulse ends they will relax and during the relaxation this energy will be transmitted from the atoms. The transmitted signal then be detected by the equipment and processed further into the pixels which turn up makingthe biomedical image. This work is more focused on medical images but the methods described here can be applied to any kind of image. The medical images have been enhanced by using the countourlet transformation. In this work the contourlet transform is flexible enough to also do the regular 2-D separable wavelet transform. In this paper counter let transformation is being used for enhancement of medical image. Then contourlet transformation is optimized by using PSO approach.
References
- http://users.dcc.uchile.cl/~jsaavedr/libros/dip_gw.pdf
- Abishek Gupta, Ajesh Nag, JatenSavani “Evolutionary Approach and Spline Interpolation for Contrast Enhancement” IEEE Second International Conference on Image Information Processing, pp. 181-186, 2013.
- Peng Feng “Enhancing retinal image by the Contourlet transform”, IEEE Conf. on Counterlet transform, 2007, pp 516–522.
- Alejandro F. Frangi “Multiscale vessel enhancement filtering”, IEEE Conf. on enhancement, 1998, pp 130-137.
- Muneer Ahmad “An Integrated Approach for Medical Image Enhancement using Wavelet Transforms and Image Filtering”, IEEE Conf. on Life Science Journal, 2014, pp 6-11.
- Alex F. de Araujo “New artificial life model for image enhancement”, IEEE Conf. on image enhancement, 2013, pp 6-16.
- Swagatam Das1, “Bacterial Foraging Optimization Algorithm: Theoretical Foundations, Analysis, and Applications”, IEEE Conf. on BFOA, 2014, PP 31-40.
- Nik ShahidahAfifi BT MdTaujuddin “Enhancement of Medical Image Compression by using Threshold Predicting Wavelet-Based Algorithm”, IEEE Conf. on Medical Imahges, 2011, pp 43-52.
- Janani, V; Dinakaran, M. “Infrared image enhancement techniques- A review”, in Current Trends in Engineering and Technology (ICCTET), 2014, ISBN 978-1-4799-7986-8, pp 167-173.
- Bhattacharya, S; Gupta, S.; Subramanian, V.K. “Localized image enhancement”, 2014, pp 1-6.
Index Terms
Keywords