Results 11 to 20 of about 5,665 (212)

An Intertwining of Curvelet and Linear Canonical Transforms

Journal of Mathematics, 2020
In this article, we introduce a novel curvelet transform by combining the merits of the well-known curvelet and linear canonical transforms. The motivation towards the endeavour spurts from the fundamental question of whether it is possible to increase ...
Azhar Y. Tantary, Firdous A. Shah
doaj   +2 more sources

Curvelet transform for Boehmians

Arab Journal of Mathematical Sciences, 2014
By proving the required auxiliary results, two Boehmian spaces are constructed for the purpose of extending the curvelet transform to the context of Boehmian spaces. A convolution theorem for curvelet transform is proved.
Subash Moorthy Rajendran, Roopkumar Rajakumar   +1 more
doaj   +2 more sources

Evaluating machine learning models for post-surgery treatment response assessment in glioblastoma multiforme: a comparative study of gray level co-occurrence matrix (GLCM), curvelet, and combined radiomics features selected by multiple algorithms [PDF]

BMC Medical Imaging
Background Developing quantitative methods to assess post-surgery treatment response in Glioblastoma Multiforme (GBM) is critical for improving patient outcomes and refining current subjective approaches.
Sanaz Alibabaei, Mohammad Yousefipour, Masoumeh Rahmani, Samira Raminfard, Marziyeh Tahmasbi   +4 more
doaj   +2 more sources

A Mosaic Method for Side-Scan Sonar Strip Images Based on Curvelet Transform and Resolution Constraints

Sensors, 2021
Due to the complex marine environment, side-scan sonar signals are unstable, resulting in random non-rigid distortion in side-scan sonar strip images. To reduce the influence of resolution difference of common areas on strip image mosaicking, we proposed
Ning Zhang, Shaohua Jin, Gang Bian, Yang Cui, Liang Chi   +4 more
doaj   +2 more sources

Measured multi-source semi-supervised working condition recognition based on curvelet pooling and attention mechanism learning [PDF]

Scientific Reports
To identify various oil well working conditions more accurately and practically from massive image data collected by multiple measured information sources of sucker-rod pumping wells, this paper proposes a working condition recognition method with three ...
Shuo Yang, Bin Zhou, Yanjiang Wang, Weifeng Liu   +3 more
doaj   +2 more sources

Hybrid Radiomics and Machine Learning for Brain Tumors Multi-Task Classification: An Exploratory Study on Integrating GLCM and Curvelet-Based Features for Enhanced Accuracy. [PDF]

Health Sci Rep
ABSTRACT Background and Aims Accurate classification of brain tumors is vital for effective treatment planning. Manual assessment of magnetic resonance imaging (MRI) scans is often subjective and time‐consuming. This exploratory study proposes a machine learning approach integrating radiomic features from contrast‐enhanced T1‐weighted MRI scans to ...
Jafari M, Rahmani M, Alibabaie S, Fatahiasl J, Razmjoo S, Birgani MJT, Tahmasbi M.   +6 more
europepmc   +2 more sources

DeepCurvMRI: Deep Convolutional Curvelet Transform-Based MRI Approach for Early Detection of Alzheimer’s Disease

IEEE Access, 2023
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 ability to live without assistance and causing a tremendous impact on the ...
Chahd Chabib, L. Hadjileontiadis, Aamna Al Shehhi   +2 more
semanticscholar   +1 more source

Curvelet Transform Based Compression Algorithm for Low Resource Hyperspectral Image Sensors

Journal of Electrical and Computer Engineering, 2023
The wavelet transform is widely used in the task of hyperspectral image compression (HSIC). They have achieved outstanding performance in the compression of a hyperspectral (HS) image, which has attracted great interest.
Shrish Bajpai, Divyakant Sharma, Monauwer Alam, V. Chandel, A. Pandey, S. Tripathi   +5 more
semanticscholar   +1 more source

A Curvelet-Transform-Based Image Fusion Method Incorporating Side-Scan Sonar Image Features

Journal of Marine Science and Engineering, 2023
Current methods of fusing side-scan sonar images fail to tackle the issues of shadow removal, preservation of information from adjacent strip images, and maintenance of image clarity and contrast. To address these deficiencies, a novel curvelet-transform-
Xinyang Zhao, Shaohua Jin, Gangying Bian, Yang Cui, Junsen Wang, Bo Zhou   +5 more
semanticscholar   +1 more source

Reconstruction of seismic data based on SFISTA and curvelet transform

Frontiers in Earth Science, 2023
In seismic data processing, the reconstruction and interpolation of missing traces are essential tasks. To overcome the limitations of irregularly sampled seismic data, this paper proposes a seismic data interpolation method combining the smoothing fast ...
Lin Tian, Lin Tian, Si Qin
doaj   +1 more source