期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015.03072266669
出版社：S&S Publications
摘要：The image fusion is used to merge the information from multi sensor which improves feature extraction and information analysis. In this paper we introduced new algorithms namely Min-Max, Mean-Mean, Fuzzy Logic to fuse the medical images based on multi wavelet tran sforms. Max -Min Algorithm and Mean-Mean Algorithms is an efficient algorithm to implement image fusion concept. Where there are two input images have been given to fuse images. This max-min algorithm will takes the maximum visible part in one image and the minimum visible part in another image to make fusion. Then it will make pre-filter operation for both these two images and then multi-wavelet decomposition will be performed based on the image fusion rules. Mean-Mean Algorithm will take the mean difference between the two input images to make fusion. An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. The goal of image fusion is to create new images that are more suitable for the purposes of human visu al perception, object detection and target recognition. The use of multi -sensor data such as visible and infrared images has led to increased recognition rate in applications such as automatic target recognition.
