An Improved Pulse-Coupled Neural Network Model for Pansharpening [PDF]
Sensors, 2020 Pulse-coupled neural network (PCNN) and its modified models are suitable for dealing with multi-focus and medical image fusion tasks. Unfortunately, PCNNs are difficult to directly apply to multispectral image fusion, especially when the spectral ...
Xiaojun Li +4 more
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A Novel Image Encryption Algorithm Based on Improved Arnold Transform and Chaotic Pulse-Coupled Neural Network [PDF]
Entropy, 2022 Information security has become a focal topic in the information and digital age. How to realize secure transmission and the secure storage of image data is a major research focus of information security. Aiming at this hot topic, in order to improve the
Jinhong Ye +3 more
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Simulation analysis of visual perception model based on pulse coupled neural network [PDF]
Scientific Reports, 2023 Pulse-coupled neural networks perform well in many fields such as information retrieval, depth estimation and object detection. Based on pulse coupled neural network (PCNN) theory, this paper constructs a visual perception model framework and builds a ...
Mingdong Li
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Automated breast lesion localisation in microwave imaging employing simplified pulse coupled neural network. [PDF]
PLoS ONE, 2022 MammoWave is a microwave imaging device for breast lesion detection, employing two antennas which rotate azimuthally (horizontally) around the breast. The antennas operate in the 1-9 GHz band and are set in free space, i.e., pivotally, no matching liquid
Maitreyee Dey +9 more
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Pulse Coupled Neural Network-Based Multimodal Medical Image Fusion via Guided Filtering and WSEML in NSCT Domain [PDF]
Entropy, 2021 Multimodal medical image fusion aims to fuse images with complementary multisource information. In this paper, we propose a novel multimodal medical image fusion method using pulse coupled neural network (PCNN) and a weighted sum of eight-neighborhood ...
Liangliang Li, Hongbing Ma
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A pulse coupled neural network segmentation algorithm for reflectance confocal images of epithelial tissue. [PDF]
PLoS ONE, 2015 Automatic segmentation of nuclei in reflectance confocal microscopy images is critical for visualization and rapid quantification of nuclear-to-cytoplasmic ratio, a useful indicator of epithelial precancer.
Meagan A Harris +4 more
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Frequency Domain Characteristics Analysis of Non-Coupled PCNN [PDF]
Jisuanji gongcheng, 2022 The Pulse Coupled Neural Network (PCNN) model is characterized by pulse modulation and coupling connection, which is widely used in the field of digital image processing.However, the existing research on the PCNN model focuses on analyzing the ...
DENG Xiangyu, Lü Yahui, CHEN Yan
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Foveation by a pulse-coupled neural network [PDF]
IEEE Transactions on Neural Networks, 1999 Humans do not stare at an image, they foveate. Their eyes move about points of interest within the image collecting clues as to the content of the image. Object shape is one of the driving forces of foveation. These foveation points are generally corners and, to a lesser extent, the edges.
Jason M. Kinser, Thomas Lindblad
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Deep Pulse-Coupled Neural Networks
CoRR, 2023 Spiking Neural Networks (SNNs) capture the information processing mechanism of the brain by taking advantage of spiking neurons, such as the Leaky Integrate-and-Fire (LIF) model neuron, which incorporates temporal dynamics and transmits information via discrete and asynchronous spikes.
Zexiang Yi +6 more
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PCNN Model Guided by Saliency Mechanism for Image Fusion in Transform Domain
Sensors, 2023 In heterogeneous image fusion problems, different imaging mechanisms have always existed between time-of-flight and visible light heterogeneous images which are collected by binocular acquisition systems in orchard environments.
Liqun Liu, Jiuyuan Huo
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