September 2015
Intermediate to advanced
266 pages
5h 38m
English
Content preview from Learning OpenCV 3 Computer Vision with Python (Update)Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Contours – convex contours and the Douglas-Peucker algorithm
Most of the time, when working with contours, subjects will have the most diverse shapes, including convex ones. A convex shape is one where there are two points within this shape whose connecting line goes outside the perimeter of the shape itself.
The first facility that OpenCV offers to calculate the approximate bounding polygon of a shape is cv2.approxPolyDP. This function takes three parameters:
- A contour
- An epsilon value representing the maximum discrepancy between the original contour and the approximated polygon (the lower the value, the closer the approximated value will be to the original contour)
- A Boolean flag signifying that the polygon is closed
The epsilon value is of vital ...
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