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Determining the location of an object in an image with an a priori unknown probability of its localization
T.P. Belikova, V.V. Lashin

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Pages: 25-36.

Full text of article: Russian language.

Abstract:
In many tasks related to image analysis, it is extremely important not to miss the objects and details that are important for the correct interpretation of the information to be analyzed. This can be achieved using the methods of digital image processing allowing to detect such objects and mark their location in the image in order to draw the attention of the researcher to the important informative features of the image.
Solving this task requires the availability of particular a priori data concerning both the initial object and the background part of the image. For example, if the background part of the image is interpreted as a realization of a two-dimensional random field, then the localization of the object requires the availability of the statistical characteristics of the background, as well as the a priori localization of the object in each point of the image [1-3].
In this paper, we consider the case when the probability of the object appearance in various image points is unknown, which is typical for most practically important tasks.

Citation:
Belikova TP, Lashin VV. Determining the location of an object in an image with an a priori unknown probability of its localization. Computer Optics 1995; 14-15(1): 25-36.

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