A novel particle swarm optimisation approach to detecting continuous, thin and smooth edges in noisy images

DOI10.1016/J.INS.2013.05.031zbMath1320.68205OpenAlexW2024942677MaRDI QIDQ497275

Yong-Cai Geng, Sumit K. Garg

Publication date: 23 September 2015

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2013.05.031

zbMATH Keywords

Gaussian noiseedge detectionimpulsive noiseparticle swarm optimisationnoisy images

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Machine vision and scene understanding (68T45)

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Uses Software

• CVIPtools

Cites Work

• Unnamed Item
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• A regularized solution to edge detection
• A possible mechanism of zero-crossing detection using the concept of the extended classical receptive field of retinal ganglion cells
• Digital Image Processing
• Optimization of Nonlinear Mechanical Systems under Constraints with the Particle Swarm Method
• An Optimal Frequency Domain Filter for Edge Detection in Digital Pictures
• On the Canny edge detector

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