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[HTML][HTML] Low-light image enhancement: A comprehensive review on methods, datasets and evaluation metrics
Enhancing low-light images in computer vision is a significant challenge that requires
innovative methods to improve its robustness. Low-light image enhancement (LLIE) …
innovative methods to improve its robustness. Low-light image enhancement (LLIE) …
Visible-light responsive CdS-QDs modified InGaZnO synapse for biologically plausible color-to-gray conversion
The energy-efficient perceptual capabilities of the human visual system have inspired the
development of optoelectronic neuromorphic devices to replicate the essential properties …
development of optoelectronic neuromorphic devices to replicate the essential properties …
Markerless Lung Tumor Localization From Intraoperative Stereo Color Fluoroscopic Images for Radiotherapy
Accurately determining tumor regions from stereo fluoroscopic images during radiotherapy
is a challenging task. As a result, high-density fiducial markers are implanted around tumors …
is a challenging task. As a result, high-density fiducial markers are implanted around tumors …
Development of an Open Droplet Microchannel-Based Magnetosensor for Immunofluorometric Assay of Trimethoprim in Chicken and Pork Samples with a Wide …
L Wang, Y Zhang, DP Zeng, Y Zhu, Z Ling… - Journal of Agricultural …, 2024 - ACS Publications
Trimethoprim (TMP), functioning as a synergistic antibacterial agent, is utilized in diagnosing
and treating diseases affecting livestock and poultry. Human consumption of the medication …
and treating diseases affecting livestock and poultry. Human consumption of the medication …
Enhancing communication: Deep learning for Arabic sign language translation
MA Hassan, AH Ali, AA Sabri - Open Engineering, 2024 - degruyter.com
This study explores the field of sign language recognition through machine learning,
focusing on the development and comparative evaluation of various algorithms designed to …
focusing on the development and comparative evaluation of various algorithms designed to …
[HTML][HTML] Computer Vision-Based Concrete Crack Identification Using MobileNetV2 Neural Network and Adaptive Thresholding
Concrete is widely used in different types of buildings and bridges; however, one of the
major issues for concrete structures is crack formation and propagation during its service life …
major issues for concrete structures is crack formation and propagation during its service life …
Airway and Airway Obstruction Site Segmentation Study Using U-Net with Drug-Induced Sleep Endoscopy Images
Obstructive sleep apnea is characterized by a decrease or cessation of breathing due to
repetitive closure of the upper airway during sleep, leading to a decrease in blood oxygen …
repetitive closure of the upper airway during sleep, leading to a decrease in blood oxygen …
[PDF][PDF] Development of digital image processing algorithms via fpga implementation
A real-time image processing is one of the fundamental elements in achieving IR 4.0. The
rapid development of digital image processing techniques has enabled various applications …
rapid development of digital image processing techniques has enabled various applications …
[HTML][HTML] Exploring Image Decolorization: Methods, Implementations, and Performance Assessment
Decolorization is an image processing technique that converts a color input image into a
grayscale image. This paper discusses the decolorization process and provides an overview …
grayscale image. This paper discusses the decolorization process and provides an overview …
Vehicle License Plate Detection and Recognition using OpenCV and Tesseract OCR.
K Kounlaxay, YC Yoon, SK Kim - International Journal on …, 2024 - search.ebscohost.com
License plate recognition (LPR) is essential as the number of vehicles increases and the
human ability to accomplish this task is limited. If human labor is used to manage these, it …
human ability to accomplish this task is limited. If human labor is used to manage these, it …