[图书][B] Mathematical problems in image processing: partial differential equations and the calculus of variations
G Aubert, P Kornprobst, G Aubert - 2006 - Springer
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus
of Variations | SpringerLink Skip to main content Advertisement SpringerLink Log in Menu …
of Variations | SpringerLink Skip to main content Advertisement SpringerLink Log in Menu …
An automatic algorithm for determination of the nanoparticles from TEM images using circular hough transform
M Mirzaei, HK Rafsanjani - Micron, 2017 - Elsevier
Nanoparticles have a wide range of applications in science and technology, and the size
distribution of nanoparticles is one of the most important statistical properties. Transmission …
distribution of nanoparticles is one of the most important statistical properties. Transmission …
Recurrent neural network based retinal nerve fiber layer defect detection in early glaucoma
Retinal nerve fiber layer defect (RNFLD) is the earliest objective evidence of glaucoma in
fundus images. Glaucoma is an optic neuropathy which causes irreversible vision …
fundus images. Glaucoma is an optic neuropathy which causes irreversible vision …
A scheme for the game p-Laplacian and its application to image inpainting
We propose a new numerical scheme for the game p-Laplacian, based on a semi-
Lagrangian approximation. We focus on the 2D version of the game p-Laplacian, with the …
Lagrangian approximation. We focus on the 2D version of the game p-Laplacian, with the …
Deep convolutional neural network-based patch classification for retinal nerve fiber layer defect detection in early glaucoma
Glaucoma is a progressive optic neuropathy characterized by peripheral visual field loss,
which is caused by degeneration of retinal nerve fibers. The peripheral vision loss due to …
which is caused by degeneration of retinal nerve fibers. The peripheral vision loss due to …
Latent space inpainting for loss-resilient collaborative object detection
IV Bajić - ICC 2021-IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Edge devices, such as cameras and mobile units, are increasingly capable of performing
sophisticated computation in addition to their traditional roles in sensing and communicating …
sophisticated computation in addition to their traditional roles in sensing and communicating …
Automated retinal nerve fiber layer defect detection using fundus imaging in glaucoma
Retinal nerve fiber layer defect (RNFLD) provides an early objective evidence of structural
changes in glaucoma. RNFLD detection is currently carried out using imaging modalities …
changes in glaucoma. RNFLD detection is currently carried out using imaging modalities …
Tsallis entropy and sparse reconstructive dictionary learning for exudate detection in diabetic retinopathy
Computer-assisted automated exudate detection is crucial for large-scale screening of
diabetic retinopathy (DR). The motivation of this work is robust and accurate detection of low …
diabetic retinopathy (DR). The motivation of this work is robust and accurate detection of low …
A novel image inpainting method based on a modified Lengyel–Epstein model
J Wang, M Luo, X Chen, H Xu, J Kim - Computer Vision and Image …, 2024 - Elsevier
With the increasing popularity of digital images, developing advanced algorithms that can
accurately reconstruct damaged images while maintaining high visual quality is crucial …
accurately reconstruct damaged images while maintaining high visual quality is crucial …
Audio–visual object removal in 360-degree videos
We present a novel concept audio–visual object removal in 360-degree videos, in which a
target object in a 360-degree video is removed in both the visual and auditory domains …
target object in a 360-degree video is removed in both the visual and auditory domains …