HoughCircle

Detect circles in grayscale images using the Hough Circle transform from scikit-image.
The circle detection works both on a initial grayscale images or after edge detection with Sobel or Canny.
It is an iterative search that test successive values of radius at all possible places in the image.
The larger the radius search range and the smaller the step size, the longer is the computation.
Requires Python3 environement with :
- Numpy
- Scikit-Image (0.15 at time of development)

Input ports

1. Type: Table
   Image with circular structure to detect
   Input table with one column of grayscale images

Output ports

1. Type: Table
   Image and Labeling
   Initial table + Labeling of circle(s)
2. Type: Table
   Circle coordinates
   Output table with one row per detected circle with (x,y) coordinates for the center, radius and score (accumulator) for the detection