Results 21 to 30 of about 740 (176)

Pulse Coupled Neural Network based Near-Duplicate Detection of Images (PCNN - NDD)

open access: yesAdvances in Electrical and Computer Engineering, 2018
Near Duplicate images are variants of original image with some transformations / manipulations / forgeries in it. The illegal copies of images are identified to protect copyright enforcement and reduce redundancy. The existing works in ND detection are
THYAGHARAJAN, K. K., KALAIARASI, G.
doaj   +1 more source

A Novel Infrared and Visible Image Information Fusion Method Based on Phase Congruency and Image Entropy

open access: yesEntropy, 2019
In multi-modality image fusion, source image decomposition, such as multi-scale transform (MST), is a necessary step and also widely used. However, when MST is directly used to decompose source images into high- and low-frequency components, the ...
Xinghua Huang   +4 more
doaj   +1 more source

BRIDGE PAVEMENT CRACK DETECTION UNDER UNEVEN ILLUMINATION USING IMPROVED PCNN ALGORITHM [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
For bridge pavement cracks under uneven illumination, the existing image segmentation algorithm does not remove this effect, and the segmentation effect is affected.
S. L. Su, T. Gong, T. Gong
doaj   +1 more source

Exploiting Quality-Guided Adaptive Optimization for Fusing Multimodal Medical Images

open access: yesIEEE Access, 2019
Multimodal medical image fusion (MMIF) plays critical roles in image-guided clinical diagnostics and treatment. Pulse coupled neural network (PCNN) has been applied in image fusion for several years.
Lu Tang, Chuangeng Tian, Kai Xu
doaj   +1 more source

Color Image Invariant Feature Extraction by a Topological Property Motivated PCNN Model

open access: yesIEEE Access, 2019
Topological invariant features take priority over other vision features in early visual perception stage, which is the core idea of topological perception theory.
Guangjie Kou   +3 more
doaj   +1 more source

MULTISPECTRAL PANSHARPENING APPROACH USING PULSE-COUPLED NEURAL NETWORK SEGMENTATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The paper proposes a novel pansharpening method based on the pulse-coupled neural network segmentation. In the new method, uniform injection gains of each region are estimated through PCNN segmentation rather than through a simple square window.
X. J. Li   +9 more
doaj   +1 more source

Finger-Vein Image Enhancement Based on Pulse Coupled Neural Network

open access: yesIEEE Access, 2019
As a promising biometric technique, the finger-vein image recognition has seen a recent surge of interest. However, the collected finger-vein images are often degraded seriously because of various vein patterns, uneven illumination, and unsatisfied ...
Lei Lei, Feng Xi, Shengyao Chen
doaj   +1 more source

Image Segmentation with PCNN Model and Immune Algorithm

open access: yesJournal of Computers, 2013
In the domain of image processing, PCNN (Pulse Coupled Neural Network) need to adjust parameters time after time to obtain the better performance. To this end, we propose a novel PCNN parameters automatic decision algorithm based on immune algorithm. The proposed method transforms PCNN parameters setting problem into parameters optimization based on ...
Jianfeng Li   +3 more
openaire   +1 more source

Background Subtraction Based on Modified Pulse Coupled Neural Network in Compressive Domain

open access: yesIEEE Access, 2020
Background subtraction is the most popular technique for foreground detection to automatically separate foreground objects from background in video sequences.
Xi Cai, Guang Han
doaj   +1 more source

Physics-constrained 3D convolutional neural networks for electrodynamics

open access: yesAPL Machine Learning, 2023
We present a physics-constrained neural network (PCNN) approach to solving Maxwell’s equations for the electromagnetic fields of intense relativistic charged particle beams.
Alexander Scheinker, Reeju Pokharel
doaj   +1 more source

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