Abstract
Color medical image fusion is visually clearer than grayscale fusion, even non-professionals can quickly locate the lesions according to image. Many approaches of image fusion have not made a thorough study of the fusion of color medical images or got ideal visual effects. In view of this situation, a color medical image fusion method based on non-subsampled shearlet transform (NSST) is proposed. After NSST transformation, an improved non-negative matrix factorization (NMF) model is used to fuse the low-frequency sub-bands, while an algorithm combining visual sensitivity coefficient and energy matching degree is adopted in the high-frequency sub-band fusion. And the sensitivity of human vision to the change of grayscale is also taken into account. The results of the fusion of MRI and SPECT/PET images show that the resolution is better than the previous algorithms, and the treatment of the fine parts is more reliable.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
