Hello,
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:
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:
- Is MSER applicable for the given problem
- Are there simpler approaches then MSER
- 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.)
Maybe someone has other improvements or tips for my problem.
Best wishes
