[IP3-9-1] Difference of Gaussian (DoG)

Difference of Gaussians (DoG) method consists of subtracting two Gaussians, where a kernel has a standard deviation smaller than the previous one. The convolution between the subtraction of kernels and the input image results in the edge detection of this image.

External resources

• Schowengerdt, R. A. (2007). CHAPTER 6 - Spatial Transforms. In R. A. Schowengerdt (Ed.), Remote Sensing (Third Edition) (pp. 229-283). Burlington: Academic Press.

Learning outcomes

• 1177 - Produce zero-crossing maps for a DoG-filtered optical EO image

  Produce zero-crossing maps for a DoG-filtered optical EO image

Self assessment

Outgoing relations

• [IP3-9-1] Difference of Gaussian (DoG) subclassof [IP3-6-1] Combined filtering
• [IP3-9-1] Difference of Gaussian (DoG) subclassof [IP3-9] Scale space analysis