Prioritizing in segment matching

A method for matching digital images, the method including

• regularization of image features of a first digital image (I1), composed of pixels,
• providing a second digital image (I2), composed of pixels,
• defining a finite set of candidate values (Mx;i,My;i), wherein a candidate value represents a candidate for a possible match between image features of said first image and image features of said second image,
• establishing a matching penalty function (MP′i) for evaluation of said candidate values (Mx;i,My;i),
• evaluating the matching penalty function (MP′i) for every candidate value (Mx;i,My;i),
• selection of a candidate value (Mx;i,My;i) based on the result of the evaluation of the matching penalty function,
• characterized by
• regularization of said first image by segmentation of said first image (I1), including assigning at least part of the pixels of said image (I1) to respective segments (10),
• determining a pixel importance parameter (PIM(x,y)) for at least part of the pixels of a segment (10), said pixel importance parameter(PIM(x,y)) representing the relative importance of each of said pixels, and
• establishing the matching penalty function (MP′i) to be at least partially based on the pixel importance parameter (PIM(x,y)).