Medical image fusion by combining parallel features on multi-scale local extrema scheme

作者：

Highlights：

• Applying color saliency feature algorithm on PET image to get functional information.

• Applying canny operator on MRI and CT image to get the anatomical structural information.

• Entropy of image is selected as weight for fusing smoothed images at different scales.

• Variance of luminance image is selected as weight for fusing detailed images at different scales.

摘要

•Applying color saliency feature algorithm on PET image to get functional information.•Applying canny operator on MRI and CT image to get the anatomical structural information.•Entropy of image is selected as weight for fusing smoothed images at different scales.•Variance of luminance image is selected as weight for fusing detailed images at different scales.

论文关键词：Local extrema scheme,Parallel features,Edge saliency weighted map,Color saliency weighted map,MRI-CT fusion,MRI-PET fusion

论文评审过程：Received 5 April 2016, Revised 7 September 2016, Accepted 12 September 2016, Available online 13 September 2016, Version of Record 20 October 2016.

论文官网地址：https://doi.org/10.1016/j.knosys.2016.09.008