Medicinal Image Usion Using Stationary Wavelet Transform and Fuzzy Logic

The fusion of images is the process of merging two or more images into a single image preserving significant features from each. Fusion is an important techniques within many different fields such as remote sensing, robotics and medical application. The information extraction process of image, A cost spends on such processing like time and assets is high, mostly for large and complex amount of information. The proposed fusion techniques are based on two process for Stationary Wavelet Transform (SWT) and Fuzzy logic. Stationary Wavelet Transform provide higher level of decomposition for fused image . SWT based image fusion algorithm produce better quality of fused images. Image local features are extracted and combined with fuzzy logic to compute weights for each pixel. Fuzzy logic allows the problems to be solved in linguistic terms at the cost of execution time and number of possible results.