My current problem:
- I have an input 3D binary image (a 3D matrix that has only 0 and 1) that consists of random numbers of sphere with radius r.
- We do not know how many spheres are there in the image.
- All spheres have the same radius r, but we do not know radius r.
- Spheres are all over the place in the image and can overlap each other.
- example image is given below.
- what is the radius r?
Currently, I simply just flatten the image to get rid of the z axis and perform edge detection and I am trying Hough Transform using: http://rsbweb.nih.gov/ij/plugins/hough-circles.html
However, with Hough Transform, I see that the variables minimum radius, maximum radius, and number of circles have to be specified. I have tried a few attempts below:
Given the correct parameters, Hough Transform can detect the circles just fine. But in the real application, I do not know how many spheres are there, and making the program attempting to guess minimum and maximum radius seems not feasible. Are there other ways to accomplish this?