Image model, Poisson distribution and object extraction

Pal, Nikhil R. ; Pal, Sankar K. (1991) Image model, Poisson distribution and object extraction International Journal of Pattern Recognition and Artificial Intelligence, 5 (3). pp. 459-483. ISSN 0218-0014

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Official URL: http://ejournals.worldscientific.com.sg/ijprai/05/...

Related URL: http://dx.doi.org/10.1142/S0218001491000260

Abstract

The theory of formation of an ideal image has been described which shows that the gray level in an image follows 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 χ2 statistic. The appropriateness of the Poisson distribution is further 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 as the test data.

Item Type:Article
Source:Copyright of this article belongs to World Scientific Publishing Company.
Keywords:Ideal-image Model; Poisson Distribution; χ2 Statistic; Entropy; Thresholding
ID Code:77651
Deposited On:14 Jan 2012 09:53
Last Modified:14 Jan 2012 09:53

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