Calculating fractal dimensions with box-counting
-
Updated
Dec 18, 2020 - Python
Calculating fractal dimensions with box-counting
Estimating the fractal dimension of an image using the box counting approach
estimating the Hausdorff Dimension of a 2D image
⚡ A package to estimate surface fractal dimension of 3D objects composed of overlapping spheres via box-counting algorithm.
an investigation of the fractal dimension of various random walks
⚡ An auxiliary repository providing functionalities for fast computation of box-counting dimension for 3D binary images.
My Monte-Carlo numerical simulations of competing dynamics Ising model
FastAPI backend for fractal dimension analysis via box-counting — OpenCV, SciPy, quality scoring, sensitivity testing.
Multiscale fractal dimension analysis of vector lines using box-counting method, ensemble statistics, BY-FDR validation, and scale-block bootstrap confidence intervals.
Code related to our paper, "Statistical Insights into Spatial Patterns: A Panorama About Lacunarity."
Interactive fractal dimension analyzer — box-counting method, D3 visualizations, WASM benchmarks. Next.js + FastAPI.
TIPE about the Modelisation of Cities with Fractals
GeoFractBox1D is an open-source QGIS Processing tool for estimating one-dimensional fractal dimension of 1D spatial data and time-series using the classical box-counting method. It produces reproducible metrics including fractal dimension (D), scaling range, regression statistics, and diagnostic plots.
All evaluable exercises for Technomathematics Workshop subject, taught by David Gomez Castro in Complutense University of Madrid in 2022/23
Automated ImageJ/Fiji workflow for fractal dimension analysis, skeleton analysis, and quantitative image preprocessing.
数学结构→量化因子。将 arXiv 物理论文中的数学结构翻译为 A 股 alpha 因子,用真实市场数据验证。盒维数、Poisson 聚类、Hurst 指数等,含 IC 对比与失败记录。跨域同构方法论。
Add a description, image, and links to the box-counting topic page so that developers can more easily learn about it.
To associate your repository with the box-counting topic, visit your repo's landing page and select "manage topics."