Co-occurrence Matrix Analysis for Image Texture Features
Techniques for image degradation and computation of four key texture parameters (energy, entropy, inertia moment, correlation) from co-occurrence matrices with implementation considerations
Explore MATLAB source code curated for "惯性矩" with clean implementations, documentation, and examples.
Techniques for image degradation and computation of four key texture parameters (energy, entropy, inertia moment, correlation) from co-occurrence matrices with implementation considerations
Includes computing the co-occurrence matrix, normalizing the co-occurrence matrix, calculating four texture parameters (energy, entropy, inertia moment, correlation) from the co-occurrence matrix, and deriving the mean and standard deviation of energy, entropy, inertia moment, and correlation as the final 8-dimensional texture feature vector