Method of directed enumeration of alternatives in the problem of automatic recognition of half-tone images

被引：0
作者：
A. V. Savchenko
机构：
[1] State University Higher School of Economy,
来源：
Optoelectronics, Instrumentation and Data Processing | 2009年 / 45卷 / 3期
关键词：
automatic image recognition; image recognition; learning recognition; minimum information discrimination criterion;
D O I：
10.3103/S8756699009030066
中图分类号：
学科分类号：
摘要：
The problem of automatic recognition of half-tone images based on the minimum information discrimination principle is formulated and solved. A method of directed enumeration of the set of alternatives in the Kullback-Leibler information metric is proposed as opposed to the method of complete enumeration of competing hypotheses. A program and results of an experimental study of the method are presented. It is shown that the proposed algorithm is characterized by increased accuracy and reliability of automatic image recognition.
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收藏
页码：255 / 261
页数：6
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  • [2] Litvinov L. A.(2003)Mathematical Methods for Material Study and Diagnostics Zavod. Lab. 69 53-64
  • [3] Orlov A. I.(1997)Discrimination of Random Signals in the Frequency Domain Radiotekh. Elektron. 42 426-431
  • [4] Savchenko V. V.(2005)Detection of the Stochastic Process Discord Based on the Principle of Minimum Informative Divergence Avtometriya 41 68-74
  • [5] Akatiev D. Yu.(undefined)undefined undefined undefined undefined-undefined
  • [6] Savchenko V. V.(undefined)undefined undefined undefined undefined-undefined
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