My personal "rabbit hole" with image-based UI testing - and how I got back.
"Image-based UI testing libraries (e.g. ImageHorizon or Sikuli) use small reference images to localize elements on the screen (e.g. buttons).
This method works extremely well ... - well, almost.
""Image 'button1.png' was not found on screen"". Do you know this message? If you still get it after 30 test runs, you want to scream at the library: ""Are you blind? There's the button! Click on it now, for God's sake!""
In a customer project I had such errors all the time - and got to the bottom of them. And to be honest, I was a bit shocked how lucky I always was when I finally got a hit and the test worked - just because I had fiddled long enough with the recognition accuracy (""similarity""/""confidence"" etc.) in an almost criminal way.
With this in mind, we added a new detection strategy to the ImageHorizonLibrary which pre-processes the images to be searched using the ""canny edge detection"" algorithm.
In the presentation, I introduce the ""edge"" strategy and use examples from real customer projects to show where it has been a real problem solver."
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