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For a visual regression test I need to compare screenshots of webpages (different release-versions). I started with pixel by pixel compare. Actually I split the screenshot in different parts (maybe 10x10 rectangles) and compare the histograms of correspondending parts.

Now I try to find an approach to find regions of interest (with coordinates and/or bounding box) automatically (tried edge detection and so on) like this:

enter image description here

Example of image segmentation

I found different articles on the web dealing with blob-detection. One method for that is Maximally stable extremal regions (MSER) which is provided in OpenCV.

Feature Detection and Description

Now my questions:

  1. Is MSER applicable for the given problem
  2. Are there simpler approaches then MSER
  3. Can someone give me some introductions to use MSER from OpenCV in Java (unfortunately I haven´t experience with OpenCV or JavaCV. Anyway I installed it on my machine.)
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