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Hi,

I'm trying to confront the color between 2 images (A model and a ROI extracted with Local Features). I Tryed HistComp with the hue with very bad results because of noise (BLUE model was similar to Orange ROI than Orange Model). Now I would like to try with Mahalanobis distance, but after 3 days in forums, examples and documentation I couldn't understand how to use calcCovarMatrix and Mahalanobis. As I studied, the CovarMatrix is done across all image and the mahalanobis is done between 2 images, but Instead I only found examples with vectors and numbers (I get it that this tools can also be applied to numerical vectors, but opencv is supposed to be about MAT, no?)- Moreover there are plenty of posts about the excess of ram usage and the errors in calcCovarMatrix with Zero comments below.

So I'm trying to write my own post, and If I don't get answers I'll start to write my own calcCov and Mahalanobis. And I'll post below.

Eventine

Hi,

I'm trying to confront compare the color between 2 images (A model and a ROI extracted with Local Features). I Tryed HistComp with the hue with very bad results because of noise (BLUE model was similar to Orange ROI than Orange Model). Now I would like to try with Mahalanobis distance, but after 3 days in forums, examples and documentation I couldn't understand how to use calcCovarMatrix and Mahalanobis. As I studied, the CovarMatrix is done across all image and the mahalanobis is done between 2 images, but Instead I only found examples with vectors and numbers (I get it that this tools can also be applied to numerical vectors, but opencv is supposed to be about MAT, no?)- Moreover there are plenty of posts about the excess of ram usage and the errors in calcCovarMatrix with Zero comments below.

So I'm trying to write my own post, and If I don't get answers I'll start to write my own calcCov and Mahalanobis. And I'll post below.

Eventine