Application Domains
| Domain | Applications | Related Modules |
|---|---|---|
| Medical Imaging | Tissue complexity, heterogeneity analysis | Multifractal spectrum, fractal dimension |
| Materials Science | Surface morphology, porous structure | Fractal dimension, lacunarity |
| Financial Analysis | Price fluctuations, risk assessment | Series multifractal spectrum |
| Earth Sciences | Terrain analysis, vegetation distribution | Fractal dimension, lacunarity |
| Image Processing | Texture classification, image segmentation | All modules |
Installation
pip install FreeAeon-Fractal
Requirements:
- Python 3.6+
- OpenCV (cv2) support
Feature Modules
| Module | Class | Features | Docs |
|---|---|---|---|
| Multifractal | CFAImageMFS | 2D image multifractal spectrum | View |
| CFASeriesMFS | 1D series multifractal spectrum | View | |
| Fractal Dimension | CFAImageFD | BC/DBC/SDBC methods | View |
| Lacunarity | CFAImageLAC | Gliding/Non-overlapping modes | View |
| Fourier Analysis | CFAImageFourier | Spectrum, filtering, reconstruction | View |
| Image Utils | CFAImage | Blocking, binarization, ROI | View |
| Visualization | CFAVisual | 1D/2D/3D point & image display | View |
| Sample Gen | CFASample | Classic fractal patterns (IFS) | View |
| GPU Accel | *GPU versions | 5-20x speedup | View |
Quick Start
Multifractal Spectrum of an Image
import cv2
import numpy as np
from FreeAeonFractal.FAImageMFS import CFAImageMFS
# Load image
rgb_image = cv2.imread('./images/face.png')
gray_image = cv2.cvtColor(rgb_image, cv2.COLOR_BGR2GRAY)
# Multifractal analysis
MFS = CFAImageMFS(gray_image, q_list=np.linspace(-5, 5, 26))
df_mass, df_fit, df_spec = MFS.get_mfs()
# Visualize
MFS.plot(df_mass, df_fit, df_spec)
Fractal Dimensions of an Image
from FreeAeonFractal.FAImageFD import CFAImageFD from FreeAeonFractal.FAImage import CFAImage # Binarize bin_image, threshold = CFAImage.otsu_binarize(gray_image) # Calculate fractal dimensions fd_bc = CFAImageFD(bin_image).get_bc_fd() fd_dbc = CFAImageFD(gray_image).get_dbc_fd() fd_sdbc = CFAImageFD(gray_image).get_sdbc_fd() # Visualize (note: new API includes gray_image parameter) CFAImageFD.plot(rgb_image, gray_image, bin_image, fd_bc, fd_dbc, fd_sdbc)
Multifractal Spectrum of a Time Series
from FreeAeonFractal.FASeriesMFS import CFASeriesMFS # Generate random walk x = np.cumsum(np.random.randn(5000)) # Multifractal analysis mfs = CFASeriesMFS(x, q_list=np.linspace(-5, 5, 21)) df_mfs = mfs.get_mfs() # Visualize mfs.plot(df_mfs)
Documentation Navigation
Access detailed documentation for each module:
- Multifractal Spectrum Analysis - CFAImageMFS
- Series Multifractal Spectrum - CFASeriesMFS
- Fractal Dimension Analysis - CFAImageFD
- Lacunarity Analysis - CFAImageLAC
- Fourier Analysis - CFAImageFourier
- Image Utilities - CFAImage
- Visualization Tools - CFAVisual
- Fractal Sample Generator - CFASample
- GPU Acceleration