Results 11 to 20 of about 1,028 (168)

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

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

Low light image enhancement using curvelet transform and iterative back projection [PDF]

Scientific Reports, 2023
With the advancement of technology in image capturing, people are accustomed to high-resolution images. One of the primary necessities of an image capturing system is to provide the same.
Sreekala Kannoth, Sateesh Kumar H. C., Raja K. B.   +2 more
doaj   +2 more sources

A novel algorithm for PET and MRI fusion based on digital curvelet transform via extracting lesions on both images [PDF]

Electronic Physician, 2017
Background and aim: Merging multimodal images is a useful tool for accurate and efficient diagnosis and analysis in medical applications. The acquired data are a high-quality fused image that contains more information than an individual image.
Shirin Hajeb Mohammad Alipour, Mohammad Houshyari, Ahmad Mostaar   +2 more
doaj   +2 more sources

Diabetic Retinopathy Grading by Digital Curvelet Transform [PDF]

Computational and Mathematical Methods in Medicine, 2012
One of the major complications of diabetes is diabetic retinopathy. As manual analysis and diagnosis of large amount of images are time consuming, automatic detection and grading of diabetic retinopathy are desired. In this paper, we use fundus fluorescein angiography and color fundus images simultaneously, extract 6 features employing curvelet ...
Shirin Hajeb Mohammad Alipour, Hossein Rabbani, Mohammadreza Akhlaghi   +2 more
openaire   +3 more sources

Curvelet-enhanced transformer architecture for blurred action fine-grained detection [PDF]

Scientific Reports
This study proposes a novel Multi Curvelet Transformer Network (MCTN) for fine-grained human behavior recognition in dynamic video scenarios. A key challenge in this field lies in accurately identifying human actions under adverse conditions such as ...
Yuxiang Ren, Zhetao Guo, Wei Zhang, Yushi Shen, Ying Xing   +4 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 Science Reports, Volume 8, Issue 8, August 2025.
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 ...
Mostafa Jafari, Masoumeh Rahmani, Sanaz Alibabaei, Jafar Fatahiasl, Sasan Razmjoo, Mohammad Javad Tahmasebi Birgani, Marziyeh Tahmasbi   +6 more
wiley   +2 more sources

Metal Artifact Reduction in Dental Computed Tomography Images Based on Sinogram Segmentation Using Curvelet Transform Followed by Hough Transform

Journal of Medical Signals and Sensors, 2017
In X-ray computed tomography (CT), the presence of metal objects in a patient’s body produces streak artifacts in the reconstructed images. During the past decades, many different methods were proposed for the reduction or elimination of the streaking ...
Mehran Yazdi, Maryam Mohammadi
doaj   +2 more sources

Fractal dimension-based multi-focus image fusion via distance-weighted regional energy in curvelet domain [PDF]

Scientific Reports
To address the challenges of information loss and noise interference in multi-focus image fusion, this paper presents a novel curvelet-domain fusion algorithm based on distance-weighted regional energy (DWRE) and fractal dimension.
Ming Lv, Zhenhong Jia, Wu Le, Liangliang Li, Hongbing Ma   +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

Undergrowth Collagen Fibers Analysis by Fingerprint Enhancement Method [PDF]

Biology of the Cell, Volume 117, Issue 4, April 2025.
Collagen fibers detected and analysed by the fingerprint enhancement algorithm. ABSTRACT Collagen is a key protein in mammals that maintains structural integrity within tissues. A failure in fibrillar collagen reorganization can induce cancer or fibrosis formation, such as in spinal cord injury (SCI), where the healing process after the initial trauma ...
Clara Manesco, Thierry Cloitre, Marta Martin, Yannick Nicolas Gerber, Florence Evelyne Perrin, Oscar Saavedra‐Villanueva, Csilla Gergely   +6 more
wiley   +2 more sources