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Differentiate between point processing and mask processing.
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Point processing Mask processing
The simplest kind of range transformations are these independent of position (x,y):,For each original image intensity value I, function t() returns a transformed intensity value t(I). this is called as point processing. The general approach in that is the value of g(x,y) is determined by the values of f is a predefined neighborhood of (x,y). Typical values of m range from 3 to even 10. This technique is called an “Mask processing” or filtering
In point processing pixels can be treated independently of their neighbors. In mask processing pixels are dependent on their neighbors.
Point processing are gamma corrections and window- centre correction and histogram equalization. Mask processing are mean, Gaussian, median filters and image gradients.
Point processing are gamma correction, window centre correction and histogram equalization. Mask processing are mean, Gaussian, Median filters and image gradients.
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