A survey of video surveillance systems in smart city
Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
Smart cities are being developed worldwide with the use of technology to improve the
quality of life of citizens and enhance their safety. Video surveillance is a key component of …
quality of life of citizens and enhance their safety. Video surveillance is a key component of …
Impact of image preprocessing methods on reproducibility of radiomic features in multimodal magnetic resonance imaging in glioblastoma
H Moradmand, SMR Aghamiri… - Journal of applied …, 2020 - Wiley Online Library
To investigate the effect of image preprocessing, in respect to intensity inhomogeneity
correction and noise filtering, on the robustness and reproducibility of the radiomics features …
correction and noise filtering, on the robustness and reproducibility of the radiomics features …
C-CNN: Contourlet convolutional neural networks
Extracting effective features is always a challenging problem for texture classification
because of the uncertainty of scales and the clutter of textural patterns. For texture …
because of the uncertainty of scales and the clutter of textural patterns. For texture …
Computer vision-based classification of concrete spall severity using metaheuristic-optimized extreme gradient boosting machine and deep convolutional neural …
This paper presents alternative solutions for classifying concrete spall severity based on
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …
computer vision approaches. Extreme Gradient Boosting Machine (XGBoost) and Deep …
A novel approach for detection of pavement crack and sealed crack using image processing and salp swarm algorithm optimized machine learning
During the phase of periodic survey, sealed crack and crack in asphalt pavement surface
should be detected accurately. Moreover, the capability of identifying these two defects can …
should be detected accurately. Moreover, the capability of identifying these two defects can …
Scale-selective and noise-robust extended local binary pattern for texture classification
As one of the most successful local feature descriptors, the local binary pattern (LBP)
estimates the texture distribution rule of an image based on the signs of differences between …
estimates the texture distribution rule of an image based on the signs of differences between …
Genetic programming-based fusion of HOG and LBP features for fully automated texture classification
Classifying texture images relies heavily on the quality of the extracted features. However,
producing a reliable set of features is a difficult task that often requires human intervention to …
producing a reliable set of features is a difficult task that often requires human intervention to …
Transfer-learning and texture features for recognition of the conditions of construction materials with small data sets
Construction materials undergo appearance and textural changes during the construction
process. Accurate recognition of these changes is critical for effectively understanding the …
process. Accurate recognition of these changes is critical for effectively understanding the …
New framework for person-independent facial expression recognition combining textural and shape analysis through new feature extraction approach
Automatic facial expression recognition (FER) has been extensively studied owing to its
wide range of applications, such as in e-learning platforms used to automatically collect the …
wide range of applications, such as in e-learning platforms used to automatically collect the …
Deep learning and handcrafted features for virus image classification
In this work, we present an ensemble of descriptors for the classification of virus images
acquired using transmission electron microscopy. We trained multiple support vector …
acquired using transmission electron microscopy. We trained multiple support vector …