Fractal and multifractal analysis: a review
R Lopes, N Betrouni - Medical image analysis, 2009 - Elsevier
Over the last years, fractal and multifractal geometries were applied extensively in many
medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis …
medical signal (1D, 2D or 3D) analysis applications like pattern recognition, texture analysis …
Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels
M Shafiq‐ul‐Hassan, GG Zhang, K Latifi… - Medical …, 2017 - Wiley Online Library
Purpose Many radiomics features were originally developed for non‐medical imaging
applications and therefore original assumptions may need to be reexamined. In this study …
applications and therefore original assumptions may need to be reexamined. In this study …
Correlation of critical state strength properties with particle shape and surface fractal dimension of clinker ash
Y Wu, J Cui, J Huang, W Zhang… - International Journal of …, 2021 - ascelibrary.org
Clinker ash is a byproduct obtained from coal-fired electrical generators. It is a type of
recycled granular material with a complex particle shape and large surface roughness …
recycled granular material with a complex particle shape and large surface roughness …
A new fractal index to classify forest fragmentation and disorder
D Peptenatu, I Andronache, H Ahammer… - Landscape …, 2023 - Springer
Context Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient
characterization from remotely sensed data therefore has strong practical implications. Data …
characterization from remotely sensed data therefore has strong practical implications. Data …
Two algorithms to estimate fractal dimension of gray-level images
WS Chen, SY Yuan, CM Hsieh - Optical Engineering, 2003 - spiedigitallibrary.org
The fractal dimension is a fascinating feature highly correlated with the human perception of
surface roughness, and has been successfully applied to texture analysis, segmentation …
surface roughness, and has been successfully applied to texture analysis, segmentation …
3D digital rock modeling of the fractal properties of pore structures
Fractal parameters of porous media have been a focus of study in petroleum engineering
and hydrogeology for several decades because they provide an effective way to describe …
and hydrogeology for several decades because they provide an effective way to describe …
Analysis of Forest Fragmentation and Connectivity Using Fractal Dimension and Succolarity
I Andronache - Land, 2024 - mdpi.com
Forests around the world, vital for ecological, economic, and social functions, are facing
increasing threats such as deforestation and habitat fragmentation. This study introduces …
increasing threats such as deforestation and habitat fragmentation. This study introduces …
Near optimum estimation of local fractal dimension for image segmentation
S Novianto, Y Suzuki, J Maeda - Pattern Recognition Letters, 2003 - Elsevier
This paper presents an algorithm for estimating the local fractal dimension (LFD) of textured
images. The algorithm is established by an experimental approach based on the blanket …
images. The algorithm is established by an experimental approach based on the blanket …
Seizure detection method based on fractal dimension and gradient boosting
Automatic seizure detection technology is necessary and crucial for the long-term
electroencephalography (EEG) monitoring of patients with epilepsy. This article presents a …
electroencephalography (EEG) monitoring of patients with epilepsy. This article presents a …
An approximated box height for differential-box-counting method to estimate fractal dimensions of gray-scale images
The Fractal Dimension (FD) of an image defines the roughness using a real number which is
highly associated with the human perception of surface roughness. It has been applied …
highly associated with the human perception of surface roughness. It has been applied …