Edge detection with the LoG filter

The following describes the steps in edge detection with an LOG filter:

  • First, the input image needs to be smoothed (by convolution with the Gaussian filter).
  • Then, the smoothed image needs to be convolved with the Laplacian filter to obtain the output image as (I (x,y) * G (x,y)).
  • Finally the zero-crossings from the image obtained in the last step need to be computed, as shown in the following diagram:

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