Publication Type : Conference Proceedings
Publisher : Springer Berlin Heidelberg
Source : Trends in Intelligent Robotics, Springer Berlin Heidelberg, Berlin, Heidelberg (2010)
ISBN : 9783642158100
Campus : Bengaluru
School : School of Engineering
Department : Electronics and Communication
Year : 2010
Abstract : This paper deals with convolution based image fusion using filter masks and reviews the performance of each with respect to qualitative and quantitative strategies. Fusion is performed using discrete wavelet transformation at two levels. The low and high frequency coefficients obtained are subjected to separate fusion rules. The low frequency approximation coefficients are selected based on a pixel selection rule while high frequency details are selected by convolution using averaging, gaussian, unsharp, prewitt and sobel filter masks of varying sizes. The performance evaluation in each case is conducted using objective strategies like RMSE and PSNR and results are graphically interpreted. Thus a comprehensive analysis is conducted to ensure the best fit mask for medical diagnosis and treatment applications
Cite this Research Publication : Susmitha Vekkot, “Wavelet Based Medical Image Fusion Using Filter Masks”, Trends in Intelligent Robotics. Springer Berlin Heidelberg, Berlin, Heidelberg, 2010.