Calculation of Histogram Features
Computation of histogram characteristics including variance, kurtosis, and entropy values, with implementation insights.
Explore MATLAB source code curated for "熵值" with clean implementations, documentation, and examples.
Computation of histogram characteristics including variance, kurtosis, and entropy values, with implementation insights.
This method computes entropy values from wavelet coefficients after wavelet packet decomposition, providing valuable assistance for beginners in signal processing with practical code implementation examples
Implementing wavelet entropy adaptive denoising to compute layer entropy values in absolute terms and corresponding weights - Original research paper implementation
Implementation of incoherent Cloude decomposition for SAR images yielding entropy, scattering angle, and anisotropy parameters, followed by synthesis into a three-color composite image for enhanced visualization of polarimetric scattering characteristics.