In this paper, a review of parameter optimization methods of pulse-coupled neural networks
(PCNNs) is presented. Considering that PCNN has been used in image processing for many …

Medical image fusion combines complementary images from different modalities for proper
diagnosis and surgical planning. A new approach for medical image fusion based on the …

In this paper, we present a new medical image fusion algorithm based on nonsubsampled
contourlet transform (NSCT) and spiking cortical model (SCM). The flexible multi-resolution …

This paper proposed a novel image segmentation method based on simplified pulse
coupled neural network (SPCNN), which was optimized by gbest led gravitational search …

The intersecting cortical model (ICM), initially designed for image processing, is a special
case of the biologically inspired pulse-coupled neural-network (PCNN) models. Although …

Imaging technology has undergone extensive development since 1985, which has practical
implications concerning civilians and the military. Recently, image fusion is an emerging tool …

This paper presents a fuzzy fusion technique for multimodal medical image fusion using type-
2 fuzzy set and near set. For each pixel of both source images, pixel-wise fuzzification based …

A brain tumor is majorly classified in two classes: low-grade glioma and high-grade glioma.
The existing detection and localization methods of both types of brain tumor use …

Image fusion process combines the information from multiple images of one view, to acquire
an informative single image which is required for computer vision applications. In case brain …

Image processing has gained a broader usage for multiple domains in recent time.
Advancement in the area of automated diagnosis tool using imaging applications has …