• Rupali Kamathe

Now a day, multimodality medical image fusion has drawn lots of attention with the increasing rate at which multimodality medical images are available in many clinical application fields. The main motivation is to capture most relevant information from sources into a single output, which plays an important role in medical diagnosis. CT scans and MRI scans contains details regarding soft and hard tissues. For medical diagnosis, CT provides the better information on denser tissue with less distortion, while MRI offers better information on soft tissue with more distortion. In this paper, different methods of image fusion are implemented for multimodal medical images as well as satellite images, such as RGB method, PCA method, Wavelet Transform method and Contourlet transform method. To evaluate the performance of each fusion method four evaluation parameters are calculated. Then visual comparison and statistical comparison is done to show that which fusion method is more accurate for medical image fusion. This paper provides an effective way to enable more accurate analysis of multimodality images. • Background: usually single image from any sensor is not sufficient to provide an accurate information related to any disease in clinical application field. So, several algorithms may be used to fetch correct information from image. • Objective: to extract different parameter from medical images by using several algorithms related to information • Method: four different image fusion Method are used to compare results based on few parameters

Multimodal medical image fusion, Discrete Wavelet Transform, Contourlet Transform.

"Comparison of Performance of Image Fusion Algorithms for Fusion of Multimodal Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.c141-c145, March-2023, Available :http://www.jetir.org/papers/JETIR2303221.pdf

"Comparison of Performance of Image Fusion Algorithms for Fusion of Multimodal Images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppc141-c145, March-2023, Available at : http://www.jetir.org/papers/JETIR2303221.pdf