T Yan, Z Hu, Y Qian, Z Qiao, L Zhang - Pattern Recognition, 2020 - Elsevier
Multifocus image fusion techniques primarily emphasize human vision and machine perception to evaluate an image, which often ignore depth information contained in the …
Z Ma, D Kim, YG Shin - Pattern Recognition, 2020 - Elsevier
In this paper, we address the problem of depth recovery from a sequence of multi-focus images, known as shape-from-focus (SFF). The conventional SFF techniques typically …
J Tang, Z Qiu, T Li - Measurement, 2019 - Elsevier
The precision measurement of grinding wheel topography is of great significance for accurate evaluating grinding performance and improving the workpiece surface finish and …
SE Arnold, MPF Sutcliffe, WLA Oram - Composites Part A: Applied Science …, 2016 - Elsevier
A rig and image analysis methodology is described to characterise wrinkle formation during draping of non-crimp fabrics. The circular fabric blank is draped over a male hemispherical …
Z He, P Zhou, J Zhu, J Zhang - Optics and Lasers in Engineering, 2023 - Elsevier
The 3D reconstruction of freedom surface has been a major challenge for computer vision as well as metrology. Complex surface structures such as large undulations and deep …
T Fan, H Yu - Optics Communications, 2018 - Elsevier
A novel shape from focus method combining 3D steerable filter for improved performance on treating textureless region was proposed in this paper. Different from conventional spatial …
H Dogan - Multimedia Tools and Applications, 2024 - Springer
Abstract Shape From Focus (SFF) is one of the most popular strategies for reconstructing object's 3D shape, which doesn't require any additional technology. SFF strategies generate …
SH Park, GR Park, KR Baek - Sensors, 2023 - mdpi.com
Shape from focus enables microscopic 3D sensing by combining it with a microscope system. However, edge bleeding artifacts of estimated depth easily occur in this …
A Wu, R Lu, M Li - Sensors and Actuators A: Physical, 2024 - Elsevier
Abstract The three-dimensional (3D) microscopic vision measurement methods based on focus stacking are widely used because of their outstanding advantages such as …