Optimum laplacian wavelet mask based medical image using hybrid cuckoo search – grey wolf optimization algorithm

作者：

Highlights：

• The paper presents a novel optimum laplacian wavelet mask based fusion for getting anatomical and functional details.

• Hybrid cuckoo search-grey wolf optimization for optimal selection of control parameters in grey wolf algorithm using cuckoo search algorithm.

• Optimum multi scale selection using hybrid cuckoo search-grey wolf optimization.

• The proposed fusion algorithm performed better results for MR-PET,MR-SPECT,MR-CT and MR-T1-T2 compared to existing techniques.

摘要

•The paper presents a novel optimum laplacian wavelet mask based fusion for getting anatomical and functional details.•Hybrid cuckoo search-grey wolf optimization for optimal selection of control parameters in grey wolf algorithm using cuckoo search algorithm.•Optimum multi scale selection using hybrid cuckoo search-grey wolf optimization.•The proposed fusion algorithm performed better results for MR-PET,MR-SPECT,MR-CT and MR-T1-T2 compared to existing techniques.

论文关键词：Medical image fusion,Cuckoo search algorithm,Grey wolf optimization,Unsharp masking,Wavelet transforms,Hybrid optimization

论文评审过程：Received 25 October 2016, Revised 13 May 2017, Accepted 18 May 2017, Available online 19 May 2017, Version of Record 20 June 2017.

论文官网地址：https://doi.org/10.1016/j.knosys.2017.05.017