Graph cuts in computer vision: Difference between revisions

Revision as of 16:02, 3 May 2021

Revision as of 18:33, 7 August 2021

Line 35:

==== Likelihood / Color model / Regional term ====

<math>E_{\rm color}</math> — unary term describing the likelihood of each color.

* This term can be modeled using different local (e.g. texons{{not a typo|texons}}) or global (e.g. histograms, GMMs, Adaboost likelihood) approaches that are described below.

===== Histogram =====

Line 48:

===== Texon =====

* A texon{{not a typo|texon}} (or texton{{not a typo|texton}}) is a set of pixels that has certain characteristics and is repeated in an image.

* Steps:

# Determine a good natural scale for the texture elements.

# Compute non-parametric statistics of the model-interior texons{{not a typo|texons}}, either on intensity or on Gabor filter responses.

* Examples: