Results 1 to 10 of about 452,773 (262)
Referenceless image quality evaluation for whole slide imaging
Objective: The image quality in whole slide imaging (WSI) is one of the most important issues for the practical use of WSI scanners. In this paper, we proposed an image quality evaluation method for scanned slide images in which no reference image is ...
Noriaki Hashimoto +4 more
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Research on SAR image quality evaluation method based on improved harris hawk optimization algorithm and XGBoost [PDF]
Synthetic aperture radar (SAR) is crucial for military reconnaissance and remote sensing, but image quality can be affected by various factors, impacting target detection performance.
Min Huang, Hang Zhao, Yazhou Chen
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Nonreference Image Quality Evaluation Algorithm Based on Wavelet Convolutional Neural Network and Information Entropy [PDF]
The image quality evaluation method, based on the convolutional neural network (CNN), achieved good evaluation performance. However, this method can easily lead the visual quality of image sub-blocks to change with the spatial position after the image is
Jinhua Liu +3 more
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Image quality evaluation of ultrasound imaging systems: advanced B-modes. [PDF]
AbstractThe Quality assurance of ultrasound clinical imaging systems is essential for maintaining their performance to the highest level and for complying with the requirements by various regulatory and accrediting agencies. Although there is no standardization yet, most of the quality assessment procedures available in literature are proposed for B ...
Sassaroli E +4 more
europepmc +5 more sources
Prosumers refer to the integration of production and consumption. Due to a large number of access to distributed power sources, electric vehicles, etc., which have a certain impact on power transformers, and increasing potential failures, transformers ...
Yi Xuan +8 more
doaj +1 more source
GMT-WGAN: An Adversarial Sample Expansion Method for Ground Moving Targets Classification
In the field of target classification, detecting a ground moving target that is easily covered in clutter has been a challenge. In addition, traditional feature extraction techniques and classification methods usually rely on strong subjective factors ...
Xin Yao +6 more
doaj +1 more source
Inverse Halftoning Methods Based on Deep Learning and Their Evaluation Metrics: A Review
Inverse halftoning is an ill-posed problem that refers to the problem of restoring continuous-tone images from their halftone versions. Although much progress has been achieved over the last decades, the restored images still suffer from detail loss and ...
Mei Li +4 more
doaj +1 more source
To ensure the safety and precision of surgery, the robotic system applied in magnetic resonance (MR) image-guided robot-assisted surgery should be MR-compatible. In terms of this issue, a MR compatibility analysis method for surgical robotic system based
LI Pan +3 more
doaj +1 more source
Ultrasound Imaging of Bottom Opening Crack Based on Frequency-Domain Reverse Time Migration
In 2-dimension (2D), a frequency-domain reverse time migration (FRTM) based on the optimal 9-point finite difference method (FDM) is introduced into the field of ultrasonic non-destructive testing (NDT).
Congcong Wang +4 more
doaj +1 more source
Diagnostic Reference Levels (DRLs) for digital mammography and image quality evaluation are important optimization tools in medical imaging. High quality mammograms are essential to the successful early detection of breast cancer.
A. E. Anasthesia +10 more
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