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action #374
closedImprove openCV matching
Status:
Closed
Priority:
Normal
Assignee:
Category:
Development
Target version:
Start date:
2013-04-30
Due date:
2013-05-02
% Done:
100%
Estimated time:
8.00 h
Description
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.
Updated by aplanas over 11 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().
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