Field lines on the billiard table are detected using the edge detector followed by the HoughLine Transform

The process of detecting field lines on a billiard table using the edge detector followed by the HoughLine Transform involves the following steps:

1. Image Acquisition: The first step is to acquire the image of the billiard table. This can be done using a camera or any other image capturing device.

2. Pre-processing: The acquired image is then pre-processed to enhance its quality. This may involve noise reduction, contrast enhancement, etc.

3. Edge Detection: The next step is to apply an edge detection algorithm on the pre-processed image. This helps in identifying the boundaries of the objects present in the image. There are various edge detection techniques available such as Sobel, Prewitt, Roberts, Canny, etc. The choice of the technique depends on the specific requirements of the task.

4. Hough Line Transform: After the edges are detected, the Hough Line Transform is applied. This is a technique used to detect straight lines in the image. It works by transforming the points in the image space to the Hough space and then identifying the lines based on the intersections in the Hough space.

5. Line Detection: The lines detected by the Hough Line Transform represent the field lines on the billiard table. These lines can be further processed or used as required for the specific task.

6. Post-processing: Finally, the detected lines may be post-processed to improve their accuracy or to extract additional information. This could involve line thinning, line linking, etc.

This is a general approach and the specific steps may vary based on the specific requirements of the task and the characteristics of the image.