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.
Difference of Gaussian (DoG)
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