Image Grayscale Statistical Features
Process an input image to calculate four key statistical measures: mean, variance, skewness, and kurtosis, with implementation insights using Python/Matlab
Statistical Theory Applications for Calculating Mean, Standard Deviation, Skewness, and Kurtosis
Implementation of statistical theory to compute descriptive statistics including mean, standard deviation, skewness, and kurtosis with code-based methodology explanations
Computing Multivariate Normal Distribution Probability Density Values
Calculate probability density values for multivariate normal distribution with mean vector and covariance matrix parameters, including implementation using scipy.stats.multivariate_normal.pdf() function
MATLAB Code Implementation for Texture Calculation
MATLAB-based texture analysis program capable of computing key statistical features including entropy, contrast, mean, and variance with algorithm explanations