Multi-Modality Medical Image Fusion Using Cross-Bilateral Filter and Neuro-Fuzzy Approach.

Context: The proposed technique uses the edge-preserving capabilities of cross-bilateral filter (CBF) and artificial intelligence technique adaptive neuro-fuzzy inference system (ANFIS) to fuse multi-modality medical images.

Aims: The aim is to present the unlike information onto a single image as each modality of medical image contains the unalike domain of information.

Settings And Design: First, the multi-modality medical images are decomposed using CBF by tuning its parameters: radiometric and geometric sigma producing CBF component and detail component.