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circle_and_line_detection's Introduction

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

alt text

Sample 2 is Circle Detection

alt text

Sample 3 is Line Detection

alt text

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