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Learning OpenCV, 2nd Edition
book

Learning OpenCV, 2nd Edition

by Adrian Kaehler, Gary Bradski
December 2014
Beginner to intermediate
575 pages
19h 37m
English
O'Reilly Media, Inc.
Content preview from Learning OpenCV, 2nd Edition
cv::RETR_TREE
Retrieves all the contours and reconstructs the full hierarchy of nested contours. In our example
(
Figure 8-1 and
Figure 8-2), this means that the root node is the outermost contour c0. Below c0 is the hole h00, which
is connected to the other hole h01 at the same level. Each of those holes in turn has children (the
contours c000 and c010, respectively), which are connected to their parents by vertical links. Thi
h become the leaf nodes in the tree.
s
ontours in the image, whic
The next five values pertain to the method (i.e., how the contours are represented):
continues down to the most-interior c
cv:
ce a large number
point. No attempt is made to
ny
ction of the number of points returned. The extreme
that is oriented along the x-y axes. In this case, only four
AIN_APPROX_TC89_L1 or cv::CHAIN_APPROX_TC89_KCOS
returned.
T-C algorithm requires no additional parameters to run.
t. The offset argument is optional. If
void cv::drawContours(
:CHAIN_APPROX_NONE
Translates all the points from the contour code into points. This operation
oints, as each point will be one of the eight neighbors of the previous
will produ
of p
reduce the number of vertices returned.
cv::CHAIN_APPROX_SIMPLE
Compresses horizontal, vertical, and diagonal segments, leaving only their ending points. ...
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Publisher Resources

ISBN: 9781449331955Errata