Data augmentation in classification and segmentation: A survey and new strategies
In the past decade, deep neural networks, particularly convolutional neural networks, have
revolutionised computer vision. However, all deep learning models may require a large …
revolutionised computer vision. However, all deep learning models may require a large …
Deep learning-based method to recognize line objects and flow arrows from image-format piping and instrumentation diagrams for digitization
As part of research on technology for automatic conversion of image-format piping and
instrumentation diagram (P&ID) into digital P&ID, the present study proposes a method for …
instrumentation diagram (P&ID) into digital P&ID, the present study proposes a method for …
Deep learning approach for the detection of noise type in ancient images
Recent innovations in digital image capturing techniques facilitate the capture of stationary
and moving objects. The images can be easily captured via high-end digital cameras …
and moving objects. The images can be easily captured via high-end digital cameras …
SAR target recognition using cGAN-based SAR-to-optical image translation
Y Sun, W Jiang, J Yang, W Li - Remote Sensing, 2022 - mdpi.com
Target recognition in synthetic aperture radar (SAR) imagery suffers from speckle noise and
geometric distortion brought by the range-based coherent imaging mechanism. A new SAR …
geometric distortion brought by the range-based coherent imaging mechanism. A new SAR …
Sonar image target detection based on style transfer learning and random shape of noise under zero shot target
J Xi, X Ye, C Li - Remote Sensing, 2022 - mdpi.com
With the development of sonar technology, sonar images have been widely used to detect
targets. However, there are many challenges for sonar images in terms of object detection …
targets. However, there are many challenges for sonar images in terms of object detection …
Robust deep learning models for OFDM-based image communication systems in intelligent transportation systems (ITS) for smart cities
Internet of Things (IoT) ecosystem in smart cities demands fast, reliable, and efficient image
data transmission to enable real-time Computer Vision (CV) applications. To fulfill these …
data transmission to enable real-time Computer Vision (CV) applications. To fulfill these …
Quality grading of river crabs based on machine vision and GA-BPNN
H Wang, H Zhu, L Bi, W Xu, N Song, Z Zhou, L Ding… - Sensors, 2023 - mdpi.com
The prices of different quality river crabs on the market can vary several times. Therefore, the
internal quality identification and accurate sorting of crabs are particularly important for …
internal quality identification and accurate sorting of crabs are particularly important for …
Denoising of nifti (mri) images with a regularized neighborhood pixel similarity wavelet algorithm
RG Akindele, M Yu, PS Kanda, EO Owoola, I Aribilola - Sensors, 2023 - mdpi.com
The recovery of semantics from corrupted images is a significant challenge in image
processing. Noise can obscure features, interfere with accurate analysis, and bias results …
processing. Noise can obscure features, interfere with accurate analysis, and bias results …
Design of a medical decision-supporting system for the identification of brain tumors using entropy-based thresholding and non-local texture features
Introduction Brain tumors arise due to abnormal growth of cells at any brain location with
uneven boundaries and shapes. Usually, they proliferate rapidly, and their size increases by …
uneven boundaries and shapes. Usually, they proliferate rapidly, and their size increases by …
Segmentation and Classification of Zn-Al-Mg-Sn SEM BSE Microstructure
D Kuchar, P Gogola, Z Gabalcova, A Nemethova… - Applied Sciences, 2023 - mdpi.com
The microstructure of materials is shaped not only by their chemical composition, but also by
the thermomechanical processes used during the processing of a specific piece. The correct …
the thermomechanical processes used during the processing of a specific piece. The correct …