Improve openCV matching
The actual matching algorithm can find a pattern inside an image, but when the art, widget or text change a bit, the matching ratio drop bellow the matching threshold.
We can investigate if reducing the amount of information of an image (via binarize or gauss filter) allow better matching ratio.
#1 Updated by aplanas about 9 years ago
- % Done changed from 0 to 90
- Status changed from New to In Progress
Improve matching performance from 0.78 to 0.95 using Gauss and gray images, and to 0.98 using blur with 7x7 kernel. I propose using the Gauss 5x5 one, is a bit lower matching ration for the test image, but is better for full different images: if I use blur w/ 7x7 kernel, different images become more similar faster, and that is bad for checkneedle().