Circle and Line Detection With Hough Transform

• GUI: C++/CLR

Destination:

Line and circle detection with Canny Edge Detection and Hough Space on the image.

Steps:

1. Apply Gaussian Filter[3x3] on Intensity image
2. Magnitude and Direction info calculate
3. Calculate Histogram using Magnitude Image
4. Canny Edge Detection :
   • 4.1 Apply Non Maximal Suppression and thinning the edges.
   • 4.2 Edges are determined according to the values given to Hysteresis Threashold.
5. Get the maximum number of edges and circles to be detected with TextBox.
6. LINE Detection:
   • 6.1. Apply Hough Transform for Edge Detection
   • 6.2. Find the maximum number of edges
   • 6.3. Mark maximum edges on image
7. CIRCLE Detection:
   • 7.1. Circle yarıçapını textBox’tan oku
   • 7.2. Apply Hough Transform for Circle Detection
   • 7.3. Find the maximum number of circles
   • 7.4. Mark maximum circles on image

Sample screenshots

Sample 1 is Circle Detection

Sample 2 is Circle Detection

Sample 3 is Line Detection