[HTML][HTML] Image edge detection using fractional calculus with feature and contrast enhancement
Edge detection is an important aspect of image processing to improve image edge quality. In
the literature, there exist various edge detection techniques in spatial and frequency …
the literature, there exist various edge detection techniques in spatial and frequency …
Fractional Fourier transform and fractional-order calculus-based image edge detection
Edge detection is an integral component of image processing to enhance the clarity of
edges in an image. Detection of edges for an image may help for image segmentation, data …
edges in an image. Detection of edges for an image may help for image segmentation, data …
Image registration based on low rank matrix: Rank-regularized SSD
A Ghaffari, E Fatemizadeh - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Similarity measure is a main core of image registration algorithms. Spatially varying intensity
distortion is an important challenge, which affects the performance of similarity measures …
distortion is an important challenge, which affects the performance of similarity measures …
Coarse-to-fine registration and time-intensity curves constraint for liver DCE-MRI synthesis
Image registration plays a crucial role in dynamic contrast-enhanced magnetic resonance
imaging (DCE-MRI), used as a fundamental step for the subsequent diagnosis of benign …
imaging (DCE-MRI), used as a fundamental step for the subsequent diagnosis of benign …
Liver DCE-MRI registration in manifold space based on robust principal component analysis
Q Feng, Y Zhou, X Li, Y Mei, Z Lu, Y Zhang, Y Feng… - Scientific reports, 2016 - nature.com
A technical challenge in the registration of dynamic contrast-enhanced magnetic resonance
(DCE-MR) imaging in the liver is intensity variations caused by contrast agents. Such …
(DCE-MR) imaging in the liver is intensity variations caused by contrast agents. Such …
Sparse recovery and dictionary learning to identify the nonlinear dynamical systems: one step toward finding bifurcation points in real systems
Modeling real dynamical systems is an important challenge in many areas of science.
Extracting governing equations of systems from their time-series is a possible solution for …
Extracting governing equations of systems from their time-series is a possible solution for …
Liver DCE‐MRI registration based on sparse recovery of contrast agent curves
Y Sun, Q Zhu, M Huang, D Shen, Y Zhou… - Medical …, 2021 - Wiley Online Library
Purpose Dynamic contrast‐enhanced MRI (DCE‐MRI) registration is a challenging task
because of the effect of remarkable intensity changes caused by contrast agent injections …
because of the effect of remarkable intensity changes caused by contrast agent injections …
[HTML][HTML] Separation of single frequency component using singular value decomposition
X Zhao, B Ye - Circuits, Systems, and Signal Processing, 2019 - Springer
It is proved that for an arbitrary frequency component, no matter how much the frequency
and its amplitude are, this frequency component always generates only two nonzero …
and its amplitude are, this frequency component always generates only two nonzero …
Tensor-based descriptor for image registration via unsupervised network
Q Liu, H Leung - 2017 20th International Conference on …, 2017 - ieeexplore.ieee.org
Since the significant intensity variations existed between different modal images, the
deformable registration is still very challenging. In this paper, in order to alleviate the …
deformable registration is still very challenging. In this paper, in order to alleviate the …
Medical image registration using sparse coding of image patches
Image registration is a basic task in medical image processing applications like group
analysis and atlas construction. Similarity measure is a critical ingredient of image …
analysis and atlas construction. Similarity measure is a critical ingredient of image …