Example: barber
Lecture 2 Image Processing and Filtering

Lecture 2 Image Processing and Filtering

Back to document page

Kernel approximates Gaussian function: What happens if you increase σ? Mean versus Gaussian filtering Input Image Mean filtered Gaussian filtered. Filtering an impulse 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Impulse signal ab c de f gh i Kernel Output = ?

  Kernel, Gaussian

Download Lecture 2 Image Processing and Filtering


Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Related search queries