Question

In my application I am getting images (captured by a high speed camera) containing projections of some light sources on the screen.

1-My first task is to plot a PDF or intensity distribution plot for the light intensity, which should come as bell shape or Gaussian, since at the center the light intensity will be maximum and at the ends it will be diminishing. Like this(just for example, not the exact case for me):

In worst cases I will be having a series of light sources illuminated simultaneously. In such cases theoretically I should get overlapping bell or Gaussian curves, some what like this:

How do I plot such a curve given the Images of light projection (like the one in the figure)?

2-After the Gaussian curve is drawn, the next job is to analyze the same such as finding width and height of the curve. How do I go for this?

I want an executable for this application, so a solution given by MATLAB or similar tool is not acceptable to my client. Also i want the solution to work in real time or near real time.

I guess OpenCV can be used here. But before I start I would like to know opinions of Image processing gurus on this forum. Especially for the step -1 above, I need some inputs.

Any pointers here?

Rgrds,

Heshsham

Note: Image is taken from http://pentileblog.com.

Answer 1

Well I solved it:

Algorithms is as follows:

1-use cvSampleLine for reading a particual line of image

2- use cvMinMaxLoc to know the maximum pixel value in a line

3- Note which of these lines is having highest pixel value. Lets say line no. 150

4- Plot pixel value for line 150.

I used MATLAB for verifying my results and graphs, and the OpenCV result is exactly the same.
Thanks for your suggestions guys.