"Probability transforms" of digital pictures

Ann Scher*, Azriel Rosenfeld

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Let g be any local property (e.g., gray level or gradient magnitude) defined on a digital picture. Let pg(z) be the relative frequency with which g has value z. At each point (x,y) of the picture we can display pg[g(x,y)], appropriately scaled; the result is called the pg transform of the picture. Alternatively, we can use joint or conditional frequencies of pairs of local properties to define transforms. This note gives examples of such transforms for various gs and discusses their possible uses and limitations.

Original languageEnglish
Pages (from-to)457-468
Number of pages12
JournalPattern Recognition
Issue number6
StatePublished - 1980
Externally publishedYes


  • Conditional probability
  • Gray level transformation
  • Image enhancement
  • Local property values
  • Probability

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