Crate image_compare
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Comparing gray images using structure
This crate allows to compare grayscale images using either structure or histogramming methods. The easiest use is loading two images, converting them to grayscale and running a comparison:
use image_compare::Algorithm;
let image_one = image::open("image1.png").expect("Could not find test-image").into_luma8();
let image_two = image::open("image2.png").expect("Could not find test-image").into_luma8();
let result = image_compare::gray_similarity_structure(&Algorithm::MSSIMSimple, &image_one, &image_two).expect("Images had different dimensions");Check the Algorithm enum for implementation details
Comparing gray images using histogram
Histogram comparisons are possible using the histogram comparison function
use image_compare::Metric;
let image_one = image::open("image1.png").expect("Could not find test-image").into_luma8();
let image_two = image::open("image2.png").expect("Could not find test-image").into_luma8();
let result = image_compare::gray_similarity_histogram(Metric::Hellinger, &image_one, &image_two).expect("Images had different dimensions");//! Check the Metric enum for implementation details
Enums
The enum for selecting a grayscale comparison implementation
The errors that can occur during comparison of the images
The distance metric choices for histogram comparisons
Traits
Functions
Comparing gray images using histogram
Comparing gray images using structure.
Comparing rgb images using structure. RGB structure similarity is performed by doing a channel split and taking the maximum deviation (minimum similarity) for the result. The image contains the complete deviations.
Type Definitions
a single-channel f32 typed image containing a result-score for each pixel
a three-channel f32 typed image containing a result-score per color channel for each pixel