Image Model, Poisson Distribution and Object Extraction

The theory of formation of an ideal image has been described which shows that the gray level in an image [ollows the Poisson distribution. Based on this concept, various algorithms for object background classification have been developed. Proposed algorithms involve either the maximum entropy principle or the minimum X statistic. The appropriateness of the Poisson distributiou is fun:her strengthened by comparing the results with those of similar algorithms which use conventional normal distribution. A set of images with various types of histograms has been considered here a~ the test data.