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Markerless Image Alignment Method for Pressure-Sensitive Paint Image [PDF]
Sensors, 2022 We propose a markerless image alignment method for pressure-sensitive paint measurement data replacing the time-consuming conventional alignment method in which the black markers are placed on the model and are detected manually.
Kyosuke Suzuki +5 more
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Groupwise Image Alignment via Self Quotient Images [PDF]
Sensors, 2020 Compared with pairwise registration, the groupwise one is capable of handling a large-scale population of images simultaneously in an unbiased way. In this work we improve upon the state-of-the-art pixel-level, Least-Squares (LS)-based groupwise image ...
Nefeli Lamprinou +2 more
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Fundamental Limits in Multi-image Alignment [PDF]
IEEE Transactions on Signal Processing, 2016 The performance of multi-image alignment, bringing different images into one coordinate system, is critical in many applications with varied signal-to-noise ratio (SNR) conditions.
Aguerrebere, Cecilia +3 more
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Printing Defect Detection Based on Scale-Adaptive Template Matching and Image Alignment [PDF]
Sensors, 2023 Printing defects are extremely common in the manufacturing industry. Although some studies have been conducted to detect printing defects, the stability and practicality of the printing defect detection has received relatively little attention. Currently,
Xinyu Liu, Yao Li, Yiyu Guo, Luoyu Zhou
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A Fast Image Alignment Approach for 2D Classification of Cryo-EM Images Using Spectral Clustering [PDF]
Current Issues in Molecular Biology, 2021 Three-dimensional (3D) reconstruction in single-particle cryo-electron microscopy (cryo-EM) is a significant technique for recovering the 3D structure of proteins or other biological macromolecules from their two-dimensional (2D) noisy projection images ...
Xiangwen Wang, Yonggang Lu, Jiaxuan Liu
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Joint Alignment of Image Faces [PDF]
IEEE Access, 2020 Researches on face alignment have made great progress, which benefits from the use of prior information and auxiliary models. However, that information lacks in a single face image has always affected the further development of these researches.
Gang Zhang +4 more
doaj +2 more sources
Image Alignment Based on Deep Learning to Extract Deep Feature Information from Images [PDF]
SensorsTo overcome the limitations of traditional image alignment methods in capturing deep semantic features, a deep feature information image alignment network (DFA-Net) is proposed. This network aims to enhance image alignment performance through multi-level
Lin Zhu, Yuxing Mao, Jianyu Pan
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The Application of Supervised Machine Learning Algorithms for Image Alignment in Multi-Channel Imaging Systems [PDF]
SensorsThis study presents a method for aligning the geometric parameters of images in multi-channel imaging systems based on the application of pre-processing methods, machine learning algorithms, and a calibration setup using an array of orderly markers at ...
Kyrylo Romanenko +5 more
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Deep Learning Strategy for Braille Character Recognition
IEEE Access, 2021 People with vision impairment use Braille language for reading, writing, and communication. The basic structure of the Braille language consists of six dots arranged in three rows and two column cells, which are identified by visually impaired people ...
Tasleem Kausar +5 more
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An Improved SIFT Underwater Image Stitching Method
Applied Sciences, 2023 Underwater image stitching is a technique employed to seamlessly merge images with overlapping regions, creating a coherent underwater panorama. In recent years, extensive research efforts have been devoted to advancing image stitching methodologies for ...
Haosu Zhang +4 more
doaj +1 more source