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Thresholding in 2D Color Space
Thresholding in multiple dimension can be explained by overlapping
the hypercubes defined by thresholds with the distributions. In the following
graph hypercubes are rectangles defined by selecting 80% of a distribution
in each band.
2D hypercubes and points for green and blue bands
These graphs lead to the concept of dimensionality evaluation for color
classification. Dimensionality analysis is the answer to the question
"How many color bands from the RGB signal are needed ?".
Up: Color Data Base and Classifier Display
Previous: Lower Dimension Distributions