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- W1965749041 abstract "We present an information-theoretic approach to the image interpretation problems. In the context of this approach such tasks as contour extracting, constructing the most informative image features and image matching are described as a single unified problem. Our approach is based primarily on the interpretation of the image (or image set) representation problem as a Minimum Description Length (MDL) problem. The image matching turns out to be a generally adopted method of images alignment by maximization of their mutual information. However, instead of using the pixels intensities themselves a more condensed data representation form can be used to reduce the dimensionality of input data and to extract the invariant information: hierarchical image structural description. Though we developed and successfully applied the information-theoretic approach for the images matching, it can be extended to the other problems, e.g. the changes detection." @default.
- W1965749041 created "2016-06-24" @default.
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- W1965749041 date "2004-04-05" @default.
- W1965749041 modified "2023-09-23" @default.
- W1965749041 title "<title>Information-theoretic approach to image description and interpretation</title>" @default.
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- W1965749041 doi "https://doi.org/10.1117/12.555533" @default.
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