A survey of infrared and visual image fusion methods
Infrared (IR) and visual (VI) image fusion is designed to fuse multiple source images into a
comprehensive image to boost imaging quality and reduce redundancy information, which is …
comprehensive image to boost imaging quality and reduce redundancy information, which is …
Protein secondary structure prediction: A survey of the state of the art
Protein secondary structure prediction (PSSP) is a fundamental task in protein science and
computational biology, and it can be used to understand protein 3-dimensional (3-D) …
computational biology, and it can be used to understand protein 3-dimensional (3-D) …
Multimodal sensor medical image fusion based on nonsubsampled shearlet transform and S-PCNNs in HSV space
Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …
comprehensive medical images. This work proposes a new scheme to fuse computed …
Bio-constrained codes with neural network for density-based DNA data storage
DNA has evolved as a cutting-edge medium for digital information storage due to its
extremely high density and durable preservation to accommodate the data explosion …
extremely high density and durable preservation to accommodate the data explosion …
A fast and efficient algorithm for DNA sequence similarity identification
DNA sequence similarity analysis is necessary for enormous purposes including genome
analysis, extracting biological information, finding the evolutionary relationship of species …
analysis, extracting biological information, finding the evolutionary relationship of species …
Multi-focus image fusion method using S-PCNN optimized by particle swarm optimization
This paper proposed a novel image fusion method based on simplified pulse-coupled
neural network (S-PCNN), particle swarm optimization (PSO) and block image processing …
neural network (S-PCNN), particle swarm optimization (PSO) and block image processing …
A theoretical analysis of continuous firing condition for pulse-coupled neural networks with its applications
The pulse-coupled neural network (PCNN) has become a popular biology-inspired model
because of its remarkable performance, such as image fusion, segmentation, and …
because of its remarkable performance, such as image fusion, segmentation, and …
Multi-focus image fusion combining focus-region-level partition and pulse-coupled neural network
Abstract Multi-scale transforms (MST)-based methods are popular for multi-focus image
fusion recently because of the superior performances, such as the fused image containing …
fusion recently because of the superior performances, such as the fused image containing …
Similarity/dissimilarity calculation methods of DNA sequences: A survey
DNA sequence similarity/dissimilarity analysis is a fundamental task in computational
biology, which is used to analyze the similarity of different DNA sequences for learning their …
biology, which is used to analyze the similarity of different DNA sequences for learning their …
An overview of PCNN model's development and its application in image processing
Z Yang, J Lian, Y Guo, S Li, D Wang, W Sun… - … Methods in Engineering, 2019 - Springer
In this paper, recent pulse coupled neural networks (PCNN) model's development,
especially in the fields related to the image processing, were surveyed. Our review aims to …
especially in the fields related to the image processing, were surveyed. Our review aims to …