I need to do this too. Could you possibly keep the list updated with your findings?
On Fri, Jan 7, 2011 at 8:26 PM, Narendra Sisodiya < naren...@narendrasisodiya.com> wrote: > > > On Sat, Jan 8, 2011 at 1:44 AM, Christopher Barker > <chris.bar...@noaa.gov>wrote: > >> On 1/7/11 10:14 AM, Narendra Sisodiya wrote: >> >>> This Code Look for bounding box which I am calculating by scanning each >>> row and column one by one. If I am finding any white pixel, I am >>> including it into my bounding box. >>> >> >> 1) there may a change that 2 or more WhiteDOT may present. One is Big >>> whiedot and other are very smaller whitedot(just 2-3 pixel) near to this >>> Big whitedot. >>> >> >> Not sure about this one off the top of myhead, but I"d suspect some >> smoothing may take care of it. >> >> >> I am applying this >>> algorithm on every frame taken from camera at 2fps. So I want a high >>> speed algorithm. PIL must be having some function or trick to do it. >>> >> >> The Image..getbbox() method should do it. >> >> > Thanks, I tried getbbox on wrong image. Now I am using getbbox and I am > getting proper result that too very fast. > > >> If you need more math, numpy can help. Somethign like: >> >> a = np.asarray(PIL_image) >> background_color = 0 >> rows, cols = np.where(a <> background_color) # background color a uint32 >> BB = (rows.min(), rows.max(), cols.min(), cols.max()) >> > > > I am unable to get what that code means ? > May you explain how I can use above code with getbbox ? Or the above code > using NumPy is alternate of getbbox method ? > IF yes, then which will be the faster ? > > PS: I have looked at centroid algorithm, It is again going at pixel level > and that will be slow. My application will become better with faster > centroid algorithm. > > > Also I have another question ! > I am grabbing image from camera using opencv-python. How we can compare > python PIL with OpenCV ? My guess that PIL will is faster then opencv > library ? > > > _______________________________________________ > Image-SIG maillist - Image-SIG@python.org > http://mail.python.org/mailman/listinfo/image-sig > >
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