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");

Comparing rgb images using hybrid mode

Histogram comparisons are possible using the histogram comparison function

let image_one = image::open("image1.png").expect("Could not find test-image").into_rgb8();
let image_two = image::open("image2.png").expect("Could not find test-image").into_rgb8();
let result = image_compare::rgb_hybrid_compare(&image_one, &image_two).expect("Images had different dimensions");

Check the Metric enum for implementation details

Enums

  • Algorithm
    The enum for selecting a grayscale comparison implementation
  • CompareError
    The errors that can occur during comparison of the images
  • Metric
    The distance metric choices for histogram comparisons

Traits

Functions

  • gray_similarity_histogram
    Comparing gray images using histogram
  • gray_similarity_structure
    Comparing gray images using structure.
  • rgb_hybrid_compare
    Comparing structure via MSSIM on Y channel, comparing color-diff-vectors on U and V summing the squares Please mind that the RGBSimilarity-Image does not contain plain RGB here
  • rgb_similarity_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 Aliases