This script tests circle detection in image using circle hough transform implementation from sOpenCV library.
Various parameters are tried to optimise detection of chemical etched track dosimeter from CR-39 polymer.

1. install python 2.7.12 32 bit
2. install numpy module 1.11.1
download numpy-1.11.1+mkl-cp27-cp27m-win32.whl from
http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy
then run:
pip install numpy-1.11.1+mkl-cp27-cp27m-win32.whl

3. install opencv module ...

download self-extracting archive opencv-3.0.0.exe
from https://sourceforge.net/projects/opencvlibrary/files/opencv-win/3.0.0/
extract it
then browse into directory opencv\build\python\2.7\x86
there is a file named cv2.pyd
copy it into c:\python27\Lib\site-packages

4. test your environment
run IDLE (python IDE)
import numpy
import cv2
you shouldn't see any errors

5. run circle4.py
6. you should see some images appearing in testsout that have different parameters
of hough transform

