A Method of Image Recognition Based on the Fusion of Reduced Invariant Representations: Mathematical Substantiation
نویسندگان
چکیده
06054. Abstract It is proposed an approach to solution of image recognition problems based on the following principal thesises: a) images are represented by multiple partial models widely used in pattern recognition – feature sets; b) algorithms are multiple classifiers: each algorithm use its own data – some partial image model; c) there are two kinds of fusion – data (partial models) fusion and algorithm fusion; d) fusion processes of both kinds are implemented by algebraic techniques in the framework of Descriptive Theory of Image Analysis. The specific aspects of the proposed approach: a) a partial image model (a feature set) includes only image invariants; b) concept of image equivalence is a base for recognition through exploiting the partial image models; c) the final solution is obtained by the algorithm fusion methods using algebra of images and algebra of algorithms.
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