pdp_opencv_contours_convexity-help.pd


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#X obj -464 444 pdp_convert bitmap/rgb/*;
#X text -300 438 COLORMODEL CONVERSION :: allways remember pdp_opencv
only works in RGB colormodel;
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#X text -484 176 FIRST OF ALL SETUP YOUR CAMERA;
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#X msg -313 525 set;
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#X obj -464 549 pdp_opencv_bgsubstract;
#X text -275 548 threshold (default 13) to use when comparing pixel
colors;
#X text -278 524 set the background reference;
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#X text -513 43 This object considers a contour to be analyzed any
group of white pixels in a black background \, for this reason you
will find useful to use pdp_bgsubstract or pdp_threshold to obtain
a correct input for pdp_opencv_contours_boundingrect.;
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#X obj -292 689 route 0 1 2 3 4;
#X obj -464 624 pdp_opencv_contours_convexity;
#X obj -295 727 unpack 0 0 0 0 0 0;
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#X text -182 690 For each convexity defect in our contour;
#X text -256 792 Start point (X -Y);
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#X text -127 754 End point (X -Y);
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#X text -342 658 number convexity defects in our detected contour;
#X text -512 7 pdp_opencv_contours_convexity :: Finds convexity defects
of the bigest contour of a binary image.;
#X text -512 104 pdp_opencv_contours_boundingrect works detecting the
bigest white area in the input image \, sometimes you will need to
use pdp_opencv_morphology to transform the contours of the shape to
be analyzed..;
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