Hands-On Image Processing with Python

Difference of Gaussian (DoG)

The LoG approach is approximated by the DoG approach, and hence it is faster. The image is smoothed (using Gaussians) with increasing σ values, and the difference between two consecutive smoothed images is stacked up in a cube. This approach again detects the bright blobs on the dark backgrounds. It is faster than LoG but less accurate, although the larger blobs detection is still expensive.