Narendra Sisodiya wrote:
> Now, I want to locate the center of whitedot.
> I want to get center based on density of whitepixel. basically
center where white pixel density is very high.
> Also, I am applying this algorithm on every frame taken from
camera at 2fps. So I want a high speed algorithm.
I would recommend using the getbbox() method, as Christopher Barker
has already pointed out, along with one of these two techniques:
a) shrinking the size of the image to, say, 16x16, so that the
smaller 'noise' dots disappear or turn into small grey dots, and then
apply, or re-apply, the 'point' method discussed in an earlier thread
to erase them;
b) using a 'centroid' algorithm to determine a 'center of mass' which
would not be affected much by small amounts of 'noise'.
Fred Lundh had kindly provided this list with such an algorithm, here:
http://mail.python.org/pipermail/image-sig/2008-August/005149.html
I use both methods in my application - detection of cars on a
racetrack for timing and scoring purposes - with good results, and
with no performance problems when processing larger images at 10 frames/second.
Garrett Davis
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