A comprehensive survey of recent trends in deep learning for digital images augmentation
Deep learning proved its efficiency in many fields of computer science such as computer
vision, image classifications, object detection, image segmentation, and more. Deep …
vision, image classifications, object detection, image segmentation, and more. Deep …
Fractal microstructure of foods
E García-Armenta, GF Gutiérrez-López - Food Engineering Reviews, 2022 - Springer
Process engineering of food materials is strongly associated with their microstructure, which
quantification allows proper selection of equipment operating conditions, monitoring …
quantification allows proper selection of equipment operating conditions, monitoring …
Low dynamic range discrete cosine transform (LDR-DCT) for high-performance JPEG image compression
In mathematical theory, the discrete cosine transform (DCT) is a lossless orthogonal
transformation method which means it outputs exactly the same values of the input after the …
transformation method which means it outputs exactly the same values of the input after the …
Frontiers and developments of data augmentation for image: From unlearnable to learnable
G Lin, JZ Jiang, J Bai, YW Su, ZH Su, HS Liu - Information Fusion, 2025 - Elsevier
Data augmentation is a crucial technique for expanding training datasets, effectively
alleviating the overfitting issue that arises from limited training data in deep learning models …
alleviating the overfitting issue that arises from limited training data in deep learning models …
Augdmc: Data augmentation guided deep multiple clustering
J Yao, E Liu, M Rashid, J Hu - Procedia Computer Science, 2023 - Elsevier
Clustering aims to group similar objects together while separating dissimilar ones apart.
Thereafter, structures hidden in data can be identified to help understand data in an …
Thereafter, structures hidden in data can be identified to help understand data in an …
[HTML][HTML] Recognition of necrotic regions in MRI images of chronic spinal cord injury based on superpixel
XX Bao, C Zhao, SS Bao, JS Rao, ZY Yang… - Computer Methods and …, 2023 - Elsevier
Background and objective The cystic cavity and its surrounding dense glial scar formed in
chronic spinal cord injury (SCI) hinder the regeneration of nerve axons. Accurate location of …
chronic spinal cord injury (SCI) hinder the regeneration of nerve axons. Accurate location of …
A self-supervised learning network for remote heart rate measurement
N Zhang, HM Sun, JR Ma, RS Jia - Measurement, 2024 - Elsevier
The rPPG technology is a facial video-based non-contact physiological parameter detection
technology, which has been widely used in the measurement of heart rate, respiration, blood …
technology, which has been widely used in the measurement of heart rate, respiration, blood …
Pressure-Insensitive Epidermal Thickness of Fingertip Skin for Optical Image Encryption
W Li, B Zhang, X Zhang, B Liu, H Li, S Wu, Z Li - Sensors, 2024 - mdpi.com
In this study, an internal fingerprint-guided epidermal thickness of fingertip skin is proposed
for optical image encryption based on optical coherence tomography (OCT) combined with …
for optical image encryption based on optical coherence tomography (OCT) combined with …
Image analyses of artificially damaged carbon/glass/epoxy composites before and after impact load
In recent years, there has been a widespread utilization of composite materials, particularly
in critical sectors such as aircraft manufacturing, where errors can have significant …
in critical sectors such as aircraft manufacturing, where errors can have significant …
Enhancement of satellite images based on CLAHE and augmented elk herd optimizer
M Braik, MA Al-Betar, MA Mahdi, M Al-Shalabi… - Artificial Intelligence …, 2024 - Springer
Satellite images often have very narrow brightness value ranges, so it is necessary to
enhance the contrast and brightness, maintain the quality of visual information, and preserve …
enhance the contrast and brightness, maintain the quality of visual information, and preserve …