Medical image fusion quality evaluation method combined multi-angle and multi-scale information

At present, the existing evaluation indicators of image fusion algorithms do not in conformity with standards human vision system and are suitable for medical application scenarios. Therefore, this paper proposes a quality method combining multi-angle multi-scale information. We use Gabor Filter to decompose obtain texture information, design new index, called Multiscale Structural Similarity Image Resolution (SSIM-IR), comprehensively evaluate fused from edge, structure sharpness. The experimental results show that is more scenarios, consistent subjective evaluation, can be used measuring advantages disadvantages algorithm.