Re: Problem with image binarization

On 15 Ago, 13:45, ImageAnalyst <imageanal...@xxxxxxxxxxxxxx> wrote:
On Aug 14, 10:51 am, king...@xxxxxxxxxxx wrote:





Hi,

i have a problem with image binarization. The images are the "frames"
taken with a video camera . Every frame is processed in order to
extract the objects.

I need to binarize (or threshold) the image. Every frame has some
noise. After i threshold the image, i need to run a component labeling
and object contour extraction algorithm. I need it to be fast (it must
run in real-time with a 200/400 mhz cpu, without gpu).

I have tried different algorithms:

1] constant thresholding

The output is good from the point of view of the noise, because the
thresholded image has more uniform black or white regions,  but
shadows, uneven light conditions etc... make it problematic to use (a
light shadow can mask the object i am searching for)

2] adaptive thresholding

using some form of adaptive thresholding is useful in order to fight
light shadows but is more sensible to the noise

Is there any thresholding algorithm that can cope with noisy images?
Remember, it need to be fast. I have tried some windowed-thresholding
algorithm, but they are slow, even with the use of integral images...

---------------------------------------------------------------------------­----
Well here's your problem right here:
"I need it to be fast (it must run in real-time with a 200/400 mhz
cpu, without gpu)."
Computers have progressed a lot in the last 20 years.  You'd do best
to spend a few hundred bucks in one.
Regards,
ImageAnalyst- Nascondi testo citato

- Mostra testo citato -

i am speaking of mobile phones...
.

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