Results 31 to 40 of about 740 (176)
Robust Sparse Representation Combined With Adaptive PCNN for Multifocus Image Fusion
IEEE Access, 2018 Multifocus image fusion utilizes the clear parts of multiple images from the same scene to generate a new image, which includes more information about the scene than any of the individual source images.
Yong Yang +4 more
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Applied Sciences, 2018 Aimed at the problem of poor noise reduction effect and parameter uncertainty of pulse-coupled neural network (PCNN), a hybrid image denoising method, using an adaptive PCNN that has been optimized by grey wolf optimization (GWO) and bidimensional ...
Min Cui +4 more
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Blood Cell Segmentation Based on Improved Pulse Coupled Neural Network and Fuzzy Entropy [PDF]
International Journal Bioautomation, 2016 In the field of biomedical image processing, because of the low intensity and brightness of the cell image, and the complex structure of the cell image, the segmentation of cell images is very difficult.
Zhanbo Liu +3 more
doaj
An Effective Multimodel Fusion Method for SAR and Optical Remote Sensing Images
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Remote sensing images acquired by different sensors exhibit different characteristics due to their distinct imaging mechanisms. The fusion of Synthetic Aperture Radar (SAR) and optical remote sensing images is valuable for specific remote sensing image ...
Wenmei Li +6 more
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Automatic Kiwifruit Segmentation From Terrestrial LiDAR Point Clouds for Precision Agriculture
Transactions in GIS, Volume 30, Issue 5, August 2026.ABSTRACT With the advancement of automation in agriculture, the determination of the health status of fruits, yield estimation, and the realization of automated harvesting have become critical applications in precision agriculture. In this context, accurate extraction of the spatial information of fruits plays a vital role.
Mustafa Dihkan +3 more
wiley +1 more source
Feature Extraction Using Pulse-Coupled Neural Network in Isolated Speech Recognition
Communications, 2006 This article presents achieved results concerning an feature extraction in isolated speech recognition problem using the Pulse-Coupled Neural Network (PCNN) approach.
Matus Jurecka
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Nonsubsampled Contourlet Transform And Adaptive PCNN For Medical Image Fusion
Journal of Applied Science and Engineering, 2022 In order to improve the quality of medical image fusion, preserve the spectral characteristics of the original image and avoid spectral degradation of the fused image, we propose a new medical image fusion method based on the nonsubsampled contourlet ...
Qian Mei, Mengfan Li
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Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Obstacles Regions 3D-Perception Method for Mobile Robots Based on Visual Saliency
Journal of Robotics, 2015 A novel mobile robots 3D-perception obstacle regions method in indoor environment based on Improved Salient Region Extraction (ISRE) is proposed. This model acquires the original image by the Kinect sensor and then gains Original Salience Map (OSM) and ...
Tao Xu +3 more
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Image Fusion Method Based on Structure-Based Saliency Map and FDST-PCNN Framework
IEEE Access, 2019 Image fusion has become an active and promising research topic in image processing. It provides an effective way to combine several source images to form a composite image with more detailed information than any one of the source images.
Jiang Qian +4 more
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