As promised last week, I was able to solve the issue of blob detection not working on larger blobs. As it turns out, the reason why I was unable to solve the issue earlier was because I was turning off filtering mechanisms one by one, however, I actually had to disable multiple preset parameters to get the blob detection to work on larger images. Furthermore, this past week I was working on ways to improve the blob detector and edge detector on different types of images. As seen in last week’s report, back then I was only testing on a simple slab of meat on a white background. This week, I obtained more images, especially the type of image seen below where the meat is on a tray, which is how I expect the final environment to work. And as you can see, my changes in parameters means edge and blob detection work in more scenarios accurately (note the 3 circles for the 3 trays of meat).
Next week, my 2 primary tasks involve beginning the setup of a neural network and getting the blob and edge detectors to take in a live camera feed to test its effectiveness in a more real world setting. I anticipate the collection and tagging of a dataset.
