Osseous and Vascular Information Fusion using Various Spatial Domain Filters Dogra Ayush1,*, Agrawal Sunil1, Khandelwal Niranjan2, Ahuja Chiraj2 1Department of Electronics and Communications, UIET, Panjab University, Chandigarh 2Department of Radio-daignosis, PGIMER, Chandigarh *Corresponding Author E-mail: ayush1234567892@gmail.com
Online published on 15 October, 2016. Abstract Image fusion techniques aims at generating a composite image by integrating the complementary information from the multiple source images from the same sensor. To achieve a high amout of fidelity in the integrated image has been a major issue of concern with the researchers. It is intriguiging how simple pre-processing techniques can accelerate the fusion rate. In this article the performance evaluation of novel combination schemes of image sharpening and image fusion using spatial domain filters is presented. The performance of the proposed scheme has been verified for bone and vasscular image fusion i.e. multimodal fusion. We have reported weighted bilateral filter fusion technique as the best method in context of objective and subjective evaluation. The entire exhaustive assesment gives a QAB/F factor of 0.769. Top Keywords Image fusion; Cross Bilateral filter; Tetrolet transform; Butterworth filter; weighted bilateral filter. Top |