Abstract

Image fusion technique applied in various field of medical science for diagnose of serious medical disease. The brain stroke detection in head is very difficult task because the tissues of head are important factor. Now the detection process used high intensity multimedia camera for gathering brain stroke image for analysis of stroke. In this paper proposed a feature optimisation technique for brain stroke detection. The proposed technique based on wavelet transforms function and particle of swarm optimisation technique. The proposed algorithm performs better in compression of pervious method such as WT and IWT transform method.

References

• Shutao Li , Bin Yang, Jianwen Hu "Performance comparison of different multi-resolution transforms for image fusion" Information Fusion Vol- 12, 2011. Pp 74-84.
• V Jyothi ,B Rajesh Kumar ,P Krishna Rao , D V Rama Koti Reddy " image fusion using evolutionary algorithm (GA)" Int. J. Comp. Tech. Appl. , Vol 2, 2011. Pp 322-326.
• Max Mignotte "A Label Field Fusion Bayesian Model and Its Penalized Maximum Rand Estimator for Image Segmentation" ieee transactions on image processing, ieee Vol- 19, 2010. Pp 1610-1624.
• Max Mignotte "A Multiresolution Markovian Fusion Model for the Color Visualization of Hyperspectral Images" ieee transactions on geoscience and remote sensing, VOL. 48, 2010. Pp 4236-4247. "
• J. J. Lewis, R. J. OCallaghan, S. G. Nikolov, D. R. Bull, C. N. Canagarajah "Region-Based Image Fusion Using Complex Wavelets" IEEE 2007. Pp 234-241.
• Susmitha Vekkot,, Pancham Shukla "A Novel Architecture for Wavelet based Image Fusion" World Academy of Science, Engineering and Technology, 2009. Pp 372-377.
• Lei Zhang , WeishengDong , DavidZhang , GuangmingShi "Two-stage image denoising by principal component analysis with local pixel grouping" Pattern Recognition, Vol-43, 2010. Pp 1531-1549.
• Kalpana Seshadrinathan, Alan C. Bovik "unifying analysis of full reference image quality assessment" IEEE 2008. Pp 1200-1204.
• Ce Liu, Richard Szeliski, Sing Bing Kang, C. Lawrence Zitnick "Automatic Estimation and Removal of Noise from a Single Image" transactions on pattern analysis and machine intelligence, IEEE, VOL. 30, 2008. Pp 299-315.
• R. Redondo, F. Sroubek, S. Fischer, G. Cristobal "Multifocus image fusion using the log-Gabor transform and a Multisize Windows Technique" Information Fusion, Elsevier 2008. Pp 1-9.
• Styliani Ioannidou , Vassilia Karathanassi "Investigation of the Dual-Tree Complex and Shift-Invariant Discrete Wavelet Transforms on Quickbird Image Fusion" IEEE geoscience and remote sensing letters, VOL. 4, 2007. Pp 166-171.
• Nikolaos Mitianoudis, Tania Stathaki "Image Fusion schemes using ICA bases" Elsevier Science, 2007. Pp 1-38.
• Shutao Li, Bin Yang "Multifocus image fusion using region segmentation and spatial frequency" Image and Vision Computing, Vol-26, 2008. Pp 371-379.
• A. Bastys, J. Kranauskas, and R. Masiulis, "Iris Matching by Local Extremum Points of Multiscale Taylor Expansion," Advances in Biometrics: Lecture Notes in Computer Science 2009, pp 1070-1079.
• Suresh Chandra Satapathy, Anima Naik and K Parvathi" A teaching learning based optimization based on orthogonal design for solving global optimization problems" in Springer Open Journal, 2013.
• Image compression using Fast Fourier Transform by Parminder Kaur, Thapar Institute of Engineering and Technology, Patiala.
• J. M. Shapiro, Embedded image coding using zerotrees of wavelet coef_cients, IEEE Trans. Signal Processing, vol. 41, pp. 3445-3462, Dec. 1993.
• J. Chen, M. Yang, Y. Zhang, and X. Shi, Ecg compression by optimized quantization of wavelet coefficients, ICIC 2006, LNCIS, vol. 345, Springer-Verlag Berlin Heidelberg, 2006, p. 809814.
• D. Karaboga, An idea based on honey bee swarm for numerical optimization, Tech. Report TR06, Erciyes University, Engineering Faculty, Computer Engineering Department, 2005.
• D. Karaboga and B. Akay, A survey: Algorithms simulating bee swarm intelligence, Artificial Intelligence Review 31 2009, no. 1, 68–55.