Regional firing characteristic of PCNN-based multimodal medical image fusion in NSCT domain Online publication date: Fri, 10-Jul-2015
by S. Sivasangumani; P.S. Gomathi; B. Kalaavathi
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 18, No. 3, 2015
Abstract: Image fusion is the process of combining images from different sources to obtain better situational awareness. The objective is to combine the most relevant information from source images into composite image. In this paper, a regional firing intensity (RFI) is defined, which is based on statistical characteristic in local window of neuron firing times when pulse coupled neural networks (PCNN) is utilised in the image fusion. A novel image fusion algorithm based on regional firing characteristic PCNN (RFC-PCNN) is proposed and RFI is considered as a determination to select the coefficients from NSCT-based MSR of source images. The proposed algorithm is suitable for increasing the fusion quality of brain tumour medical image fusion, and also it removes the artefact effect in fused image. The experimental results show that the proposed method is better than other fusion methods and increases the quality of the fused image.
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