Fractal Dimension Calculation Using Box-Counting Algorithm
MATLAB source code implementation of the box-counting algorithm for fractal dimension computation, featuring algorithmic explanations and practical applications
Fractal Dimension
Calculating fractal dimension in SAXS data using computational methods
Box Counting Algorithm for Fractal Dimension Calculation
MATLAB source code implementation of the box counting algorithm for fractal dimension computation, featuring detailed code structure and practical applications
Image Segmentation Using Fractal Dimension
Welcome to our Blog! Exploring Fractal Dimension-Based Image Segmentation Techniques with Code Implementation Insights
Fractal Dimension and Wavelet Transform-Based Region Matching Method
Implementation of a region matching method using fractal dimension and wavelet transform through MATLAB with code integration
Box Counting Algorithm for Fractal Dimension Calculation
Box counting algorithm for fractal dimension calculation, designed specifically for images with equal side lengths, with practical code implementation guidance
Box-Counting Dimension Calculation for Fractal Dimension Analysis
A program implementation for computing fractal dimensions of 1D curves using the box-counting dimension principle, featuring optimized algorithms and efficient data structures.
Calculating Fractal Dimension Using the Box-Counting Method
Implementing the box-counting method to compute the fractal dimension of an N*N image with pixel analysis and dimension calculation algorithms
MATLAB Implementation for Box-Counting Dimension Calculation
MATLAB program for computing box-counting dimension. This implementation follows the box-counting principle to calculate the fractal dimension of 1D curves. The function FractalDim(y, cellmax) takes a 1D signal as input and returns its box-counting dimension using scalable grid analysis with configurable maximum cell size.
Fractal Dimension Analysis for Particle Morphology Boundaries
A MATLAB-based program for calculating the fractal dimension of particle morphology boundaries. The implementation uses box-counting algorithm to analyze binary images (default: 4.bmp) with customizable image preprocessing and dimension calculation functions.