New answers tagged computer-vision
3
Feature Extraction
There are many modern known features for images. Among them:
BRISK Feature.
FAST Feature.
Harris Feature.
KAZE Feature.
MSER Feature.
ORB Feature.
SIFT Feature.
SURF Feature.
LBP Feature.
HOG Features.
Those are classic and popular features. Since the blossom of Deep Learning people are less and less invest in researching newer features.
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If the image is a GIF (or similar), you have large areas a single colour.
To find where these areas end, an edge detector is the logical choice.
In DSP terms, look at high pass filters to detect changes when you move between areas.
Note: jpeg and other picture formats can have areas where colour slowly changes. In this case, the edge between colours is not ...
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