A new chaos cat swarm optimization algorithm based on saliency gradient for power equipment infrared and visible images registration

Wang, Jihong; Yu, Huan

doi:10.1007/s12065-022-00776-1

Cited by 4 publications

(2 citation statements)

References 38 publications

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“…In some cases, the success rate is defined as the recognition capability, the algorithms proposed in [ 57 , 66 , 67 , 68 , 69 , 70 , 71 , 78 , 105 , 112 ] achieving a maximum rate of 100%. Some articles analyze the robustness of the algorithms against additive/blurry/motion noise, the success rate reaching 96% in [ 59 ] (48 of 50 pairs correctly matched) and 98.8% in [ 87 ]. Some research automates the identification of medical images (forensic identification, histopathology tissue samples, 3D model reconstruction), with high success rates that translate into a large reduction of manual work by specialists [ 12 , 16 , 82 , 103 ].…”

Section: Discussionmentioning

confidence: 99%

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Evolutionary Image Registration: A Review

Cocianu

Uscatu²,

Stan³

2023

Sensors

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Image registration is one of the most important image processing tools enabling recognition, classification, detection and other analysis tasks. Registration methods are used to solve a large variety of real-world problems, including remote sensing, computer vision, geophysics, medical image analysis, surveillance, and so on. In the last few years, nature-inspired algorithms and metaheuristics have been successfully used to address the image registration problem, becoming a solid alternative for direct optimization methods. The aim of this paper is to investigate and summarize a series of state-of-the-art works reporting evolutionary-based registration methods. The papers were selected using the PRISMA 2020 method. The reported algorithms are reviewed and compared in terms of evolutionary components, fitness function, image similarity measures and algorithm accuracy indexes used in the alignment process.

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Section: Discussionmentioning

confidence: 99%

“…Wang and Yu, 2022: In [ 59 ], the authors explore the problem of registration between visual spectrum images and infrared images. The low resolution and inherent blur of infrared images create problems for registration algorithms.…”

Section: Articlesmentioning

confidence: 99%