Description

Here we develop a proposed method in the image fusion. For image fusion here we are using the fuzzy logic. The fuzzy will provide the good result in the image fusion. Here we are comparing the two transform first one is IHS transform and Wavelet transform. Initially we generate the fuzzy rule in membership function. Images are in matrix form where each pixel value is in the range from 0-255. Use Gray C o I or map. Compare rows and columns of both input images. If the two images are not of the same size, select the portion, which are of same size. Make a fis (Fuzzy) file, which has two input images. Decide number and type of membership functions for both the input images by tuning the membership functions. Input images in antecedent are resolved to a degree of membership ranging 0 to 255. Make rules for input images, which resolve the two antecedents to a single number from 0 to 255. For num=l to C in steps of one, apply fuzzification using the rules developed above on the corresponding pixel values of the input images which gives a fuzzy set represented by a membership function and results in output image in column format. Convert the column form to matrix form and display the fused image.