Comparing 2 different histograms

3 vues (au cours des 30 derniers jours)
henry wang
henry wang le 8 Mar 2013
Commenté : Image Analyst le 30 Mai 2022
Hi,
Are there any built in functions in matlab to compare 2 histograms? The 2 histograms are given as input vectors to the problem. (OpenCV has built-in function that offers 4 different metrics)
Thanks, Henry
  1 commentaire
Muhammad Ali Qadar
Muhammad Ali Qadar le 31 Août 2013
d=pdist2(c1',c2'); Where c1 and c2 are the Computed histograms, you can go for help pdist2 to explore it

Connectez-vous pour commenter.

Réponses (1)

Image Analyst
Image Analyst le 31 Août 2013
You could compute the moments of each. In what way do you want to compare them? What are you really after? Let's say that you had 10 ways to compare histograms (mean, stddev, skewness, kurtosis, pdist, whatever....), and you can see that each histogram gives a different set of values. The question is what would you do then knowing that information?
  4 commentaires
Prachi Joshi
Prachi Joshi le 30 Mai 2022
Modifié(e) : Prachi Joshi le 30 Mai 2022
Dear, @Image Analyst Thank you for your response.
I have two images of the same material sample, one before environmental impact (Virgin sample) and one after environmental impact (effect of temperature, water, etc., and clicking image of the affected sample). So, basically, due to the environmental impact, there is a change in the material properties of the sample. I want to relate that change in sample properties to the color difference of the sample images before and after the environmental effect. This is an application of image processing for change detection.
Regarding delta E, the sample images (before and after) are of the same size but are not aligned. I can't change the sample images at this point.
What should I do? Which parameter should I use to quantify the color difference for before and after images?
Also, should I use original RGB images or convert them to LAB?
Image Analyst
Image Analyst le 30 Mai 2022
You should probably just use a colorimeter instead of digital imaging. If you use digital imaging you're going to have to calibrate your system with something like the ColorChecker Chart. Otherwise you're just using arbitrary "book formulas" for converting RGB to LAB and that's not accurate, particularly if you have changing enrionmental conditions (light spectrum, overall intensity, etc.).

Connectez-vous pour commenter.

Tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by