DeepCurvMRI: Deep convolutional curvelet transform-based MRI approach for early detection of Alzheimer's disease
CM Chabib, LJ Hadjileontiadis, A Al Shehhi - IEEE Access, 2023 - ieeexplore.ieee.org
Alzheimer's Disease (AD) is the most common form of dementia. It usually manifests through
progressive loss of cognitive function and memory, subsequently impairing the person's …
progressive loss of cognitive function and memory, subsequently impairing the person's …
Texture segmentation benchmark
S Mikeš, M Haindl - IEEE Transactions on Pattern Analysis and …, 2021 - ieeexplore.ieee.org
The Prague texture segmentation data-generator and benchmark (mosaic. utia. cas. cz) is a
web-based service designed to mutually compare and rank (recently nearly 200) different …
web-based service designed to mutually compare and rank (recently nearly 200) different …
Infrared polarization and intensity image fusion based on bivariate BEMD and sparse representation
P Zhu, L Liu, X Zhou - Multimedia Tools and Applications, 2021 - Springer
The issue of infrared polarization and intensity images fusion has shown important value in
both military and civilian areas. In this paper, a novel fusion approach is addressed by …
both military and civilian areas. In this paper, a novel fusion approach is addressed by …
[HTML][HTML] Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Abstract Predicting accurately the Normalized Difference Vegetation Index (NDVI) trends
from RGB images are essential to monitor crops and identify issues related to plant …
from RGB images are essential to monitor crops and identify issues related to plant …
Automatic image positioning of a rail train number using speed-up robust features and stroke width transform
The rail train number is the only sign information of the vehicle. It is very important to use the
image processing method to locate the train number to improve the efficiency of rail train …
image processing method to locate the train number to improve the efficiency of rail train …
Tool wear segmentation in blanking processes with fully convolutional networks based digital image processing
C Schlegel, DA Molitor, C Kubik, DM Martin… - Journal of Materials …, 2024 - Elsevier
The extend of tool wear significantly affects blanking processes and has a decisive impact
on product quality and productivity. For this reason, numerous scientists have addressed …
on product quality and productivity. For this reason, numerous scientists have addressed …
Combining dual-tree wavelet analysis and proximal optimization for anisotropic scale-free texture segmentation
L Davy, N Pustelnik, P Abry - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
The present work addresses the segmentation of textures characterized by anisotropy and
scale-free statistics, two generic properties of use to model numerous real-world …
scale-free statistics, two generic properties of use to model numerous real-world …
[PDF][PDF] 基于区域灰度极小值的网孔织物图像分割算法
化春键, 孙康康, 陈莹 - Laser & Optoelectronics Progress, 2021 - researching.cn
摘要针对网孔织物图像的对比度低和噪声点多而导致分割结果中存在网孔连在一起和残缺等
问题, 提出一种基于区域灰度极小值的分割算法以期提高网孔的分割精度. 首先利用高斯金字塔 …
问题, 提出一种基于区域灰度极小值的分割算法以期提高网孔的分割精度. 首先利用高斯金字塔 …
The empirical watershed wavelet
The empirical wavelet transform is an adaptive multi-resolution analysis tool based on the
idea of building filters on a data-driven partition of the Fourier domain. However, existing 2D …
idea of building filters on a data-driven partition of the Fourier domain. However, existing 2D …
Nonparametric bayesian learning of infinite multivariate generalized normal mixture models and its applications
This paper addresses the problem of data vectors modeling, classification and recognition
using infinite mixture models, which have been shown to be an effective alternative to finite …
using infinite mixture models, which have been shown to be an effective alternative to finite …