[HTML][HTML] Image quality assessment through FSIM, SSIM, MSE and PSNR—a comparative study
Quality is a very important parameter for all objects and their functionalities. In image-based
object recognition, image quality is a prime criterion. For authentic image quality evaluation …
object recognition, image quality is a prime criterion. For authentic image quality evaluation …
Road extraction by using atrous spatial pyramid pooling integrated encoder-decoder network and structural similarity loss
H He, D Yang, S Wang, S Wang, Y Li - Remote Sensing, 2019 - mdpi.com
The technology used for road extraction from remote sensing images plays an important role
in urban planning, traffic management, navigation, and other geographic applications …
in urban planning, traffic management, navigation, and other geographic applications …
A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing
M Amiriebrahimabadi, Z Rouhi, N Mansouri - Archives of Computational …, 2024 - Springer
In image processing, multi-level thresholding is a sophisticated technique used to delineate
regions of interest in images by identifying intensity levels that differentiate different …
regions of interest in images by identifying intensity levels that differentiate different …
CNN spatiotemporal features and fusion for surveillance video forgery detection
Surveillance cameras are widely used to provide protection and security; also their videos
are used as strong evidences in the courts. Through the availability of video editing tools, it …
are used as strong evidences in the courts. Through the availability of video editing tools, it …
Information encoding in bursting spiking neural network modulated by astrocytes
SV Stasenko, VB Kazantsev - Entropy, 2023 - mdpi.com
We investigated a mathematical model composed of a spiking neural network (SNN)
interacting with astrocytes. We analysed how information content in the form of two …
interacting with astrocytes. We analysed how information content in the form of two …
[HTML][HTML] Detecting coagulation time in cheese making by means of computer vision and machine learning techniques
Cheese production, a globally cherished culinary tradition, faces challenges in ensuring
consistent product quality and production efficiency. The critical phase of determining cutting …
consistent product quality and production efficiency. The critical phase of determining cutting …
A review on application of fourier transform in image restoration
AM John, K Khanna, RR Prasad… - … on I-SMAC (IoT in Social …, 2020 - ieeexplore.ieee.org
Fourier Transform (FT) has been widely used as an image processing tool for analysis,
filtering, reconstruction, and compression of images. The relevance of FT is considered in …
filtering, reconstruction, and compression of images. The relevance of FT is considered in …
Thermal simulation trained deep neural networks for fast and accurate prediction of thermal distribution and heat losses of building structures
In this study, state-of-the art deep neural networks to train and predict the heat transfer in
building structures were proposed. Today, many of studies analyze thermal energy …
building structures were proposed. Today, many of studies analyze thermal energy …
Reconstructing Snow-Free Sentinel-2 Satellite Imagery: A Generative Adversarial Network (GAN) Approach
Sentinel-2 satellites are one of the major instruments in remote sensing (RS) technology that
has revolutionized Earth observation research, as its main goal is to offer high-resolution …
has revolutionized Earth observation research, as its main goal is to offer high-resolution …
High latency unmanned ground vehicle teleoperation enhancement by presentation of estimated future through video transformation
Long-distance, high latency teleoperation tasks are difficult, highly stressful for teleoperators,
and prone to over-corrections, which can lead to loss of control. At higher latencies, or when …
and prone to over-corrections, which can lead to loss of control. At higher latencies, or when …