Nano-scale wear: A critical review on its measuring methods and parameters affecting nano-tribology
This paper presents a critical review on the measuring methods and parameters affecting
nano-tribology in the context of nano-scale wear. Nano-scale wear phenomena play a …
nano-tribology in the context of nano-scale wear. Nano-scale wear phenomena play a …
A multi-modal image fusion framework based on guided filter and sparse representation
S Zhang, F Huang, B Liu, G Li, Y Chen, Y Chen… - Optics and Lasers in …, 2021 - Elsevier
To completely integrate the structures of images, a cartoon-texture decomposition based
image fusion framework is proposed in this paper. The cartoon components represent the …
image fusion framework is proposed in this paper. The cartoon components represent the …
A view of computational models for image segmentation
L Antonelli, V De Simone, D di Serafino - ANNALI DELL'UNIVERSITA'DI …, 2022 - Springer
Image segmentation is a central topic in image processing and computer vision and a key
issue in many applications, eg, in medical imaging, microscopy, document analysis and …
issue in many applications, eg, in medical imaging, microscopy, document analysis and …
[HTML][HTML] Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data
Abstract Predicting accurately the Normalized Difference Vegetation Index (NDVI) trends
from RGB images are essential to monitor crops and identify issues related to plant …
from RGB images are essential to monitor crops and identify issues related to plant …
Difference of anisotropic and isotropic TV for segmentation under blur and Poisson noise
In this paper, we aim to segment an image degraded by blur and Poisson noise. We adopt a
smoothing-and-thresholding (SaT) segmentation framework that finds a piecewise-smooth …
smoothing-and-thresholding (SaT) segmentation framework that finds a piecewise-smooth …
Particle and Particle Agglomerate Size Monitoring by Scanning Probe Microscope
P Gulyaev, T Krenicky, E Shelkovnikov, A Korshunov - Applied Sciences, 2022 - mdpi.com
Featured Application The results presented in this paper can be used in microscopy and
modern methods of particle inspection using images. Abstract In the present study, the use …
modern methods of particle inspection using images. Abstract In the present study, the use …
[HTML][HTML] Application of the hough transform to dispersion control of overlapping particles and their agglomerates
PV Gulyaev - Приборы и методы измерений, 2023 - cyberleninka.ru
The dispersion control of micro-and nanoparticles by their images is of great importance for
ensuring the specified properties of the particles themselves and materials based on them …
ensuring the specified properties of the particles themselves and materials based on them …
Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation
The Segment Anything Model (SAM) has demonstrated strong performance in image
segmentation of natural scene images. However, its effectiveness diminishes markedly …
segmentation of natural scene images. However, its effectiveness diminishes markedly …
Demons registration for 2D empirical wavelet transform: Application to texture segmentation
The empirical wavelet transform is a fully adaptive time-scale representation that has been
widely used in the last decade. Inspired by the empirical mode decomposition, it consists of …
widely used in the last decade. Inspired by the empirical mode decomposition, it consists of …
[HTML][HTML] Demon Registration for 2D Empirical Wavelet Transforms
The empirical wavelet transform is a fully adaptive time-scale representation that has been
widely used in the last decade. Inspired by the empirical mode decomposition, it consists of …
widely used in the last decade. Inspired by the empirical mode decomposition, it consists of …