边缘强度 Resources

Showing items tagged with "边缘强度"

This MATLAB code implements a comprehensive image analysis suite for calculating edge strength, information entropy, grayscale mean, standard deviation (mean square error MSE), root mean square error, peak signal-to-noise ratio (PSNR), spatial frequency (SF), image sharpness, mutual information (MI), structural similarity (SSIM), cross entropy, and relative standard deviation. The toolkit includes advanced image processing capabilities such as gradient computation, color histogram analysis, contrast measurement, and smoothness evaluation.

MATLAB 258 views Tagged
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This is a comprehensive collection of 13 image fusion performance metrics gathered from online sources, including Average Gradient, Edge Intensity, Information Entropy, Gray Mean Value, Standard Deviation (Mean Square Error MSE), Root Mean Square Error, Peak Signal-to-Noise Ratio (PSNR), Spatial Frequency (SF), Image Definition, Mutual Information (MI), Structural Similarity (SSIM), Cross Entropy, and Relative Standard Deviation. Let's share and discuss implementation approaches together!

MATLAB 226 views Tagged
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Image quality assessment using entropy, average gradient, edge strength, variance, and other metrics with implementation insights

MATLAB 199 views Tagged
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This morphological color edge detection method processes RGB color space by performing morphological edge detection separately on the R, G, and B pseudo-color channel components of the original color image, then merges the edge intensities from all three channels and applies threshold segmentation to extract the image's contour edges.

MATLAB 212 views Tagged
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