I'm working on a program that uses the cvFindContours function and i'm looking to implement machine learning for the contour detection. Can this be done? From what i understand training data has to be passed in to the train function as a vector or number. How would i convert the contour data into a vector or number?
Thanks in advance.
You shouldn't use contours to teach a machine learning engine, but you should use its properties. From a contour you can directly derive properties such as centroid, area, bounding rectangle, minimum enclosing rectangle and perimeter. Furthermore, you can compute extra contour properties, such as solidity, form factor, euler number and many others. So, what you want is to store this kind o features that describe the contour in a feature vector, rather than using the contour itself
Asked: 2014-03-11 13:29:37 -0600
Seen: 743 times
Last updated: Mar 12 '14
don't use the contours, but moments/Humoments derived from them