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Segmentation of regions of interest on locally homogeneous scenes

  • Representation, Processing, Analysis, and Understanding of Images
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Abstract

The possibilities of the segmentation of regions of interest on locally homogeneous scenes using some known methods are studied. The segmentation is considered a problem of classifying pixels of the region of interest into two classes and the segmentation quality is measured by the probability of misclassification. The results of the segmentation for scenes with different correlation radii and complexities, which is measured as the signal-to-noise ratio, are discussed.

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Authors and Affiliations

  1. Kazan Federal University, ul. Kremlevskaya 18, Kazan, 420008, Tatarstan, Russia

    V. B. Fofanov & A. N. Zhiznevskii

Authors
  1. V. B. Fofanov
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  2. A. N. Zhiznevskii
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Correspondence to V. B. Fofanov.

Additional information

Vyacheslav Borisovich Fofanov. Born 1948. Graduated from the Department of Mathematics and Mechanics of Kazan State University in 1971. Received candidate’s degree in 1977. Scientific interests: pattern recognition and imagery interpretation. Author of more than 50 papers. Associate professor in Kazan State University.

Aleksei Nikolaevich Zhiznevskii. Born 1988. Graduated from the Department of Computational Mathematics and Cybernetics of Kazan Federal University in 2010. Scientific interests: imagery interpretation and pattern recognition. Author of four papers. Post-graduate of this University.

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Fofanov, V.B., Zhiznevskii, A.N. Segmentation of regions of interest on locally homogeneous scenes. Pattern Recognit. Image Anal. 22, 257–264 (2012). https://doi.org/10.1134/S1054661812020022

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  • DOI: https://doi.org/10.1134/S1054661812020022

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