A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images
type: Item
instance of: scholarly article
title: A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images
zbMATH Open document ID: 1320.68205
author: Yong-Cai Geng
author: Sumit K. Garg
published in: Information Sciences
publication date: 2015-09-23T00:00:00Z
Mathematics Subject Classification ID: 68T45
Mathematics Subject Classification ID: 68T20
Mathematics Subject Classification ID: 68U10
zbMATH DE Number: 6484769
zbMATH Keywords: edge detection
zbMATH Keywords: particle swarm optimisation
zbMATH Keywords: noisy images
zbMATH Keywords: impulsive noise
zbMATH Keywords: Gaussian noise
describes a project that uses: CVIPtools
MaRDI profile type: Publication
full work available at URL: j.ins.2013.05.031
OpenAlex ID: W2024942677
cites work: On the Canny edge detector
cites work: A possible mechanism of zero-crossing detection using the concept of the extended classical receptive field of retinal ganglion cells
cites work: Robust edge detection in noisy images
cites work: On candidates selection for hysteresis thresholds in edge detection
cites work: Swarm algorithms with chaotic jumps applied to noisy optimization problems
cites work: Particle swarm optimization for function optimization in noisy environment
cites work: Recent approaches to global optimization problems through particle Swarm optimization
cites work: A regularized solution to edge detection
cites work: Digital Image Processing
cites work: Optimization of Nonlinear Mechanical Systems under Constraints with the Particle Swarm Method
cites work: An Optimal Frequency Domain Filter for Edge Detection in Digital Pictures
cites work: Q4652235
DOI: 10.1016/J.INS.2013.05.031
description: scientific article; zbMATH DE number 6484769