Abstract
The paper proposes a unified direct approach to a number of problems arising in image processing. In particular, the areas of image registration, and object or pattern recognition are addressed when the images of interest display significant geometric distortion due to some physical or geometrical conditions. The proposed method performs a direct multi-objective search in image response space for an optimal piece-wise affine transformation of the images using a hybrid evolutionary algorithm. In its most general form, the entire algorithm works in two relatively independent passes. First, the global search attempts to find the optimal solution for the principal affine transformation. During the second pass, the correction procedure seeks for the optimal piece-wise approximation of the actual image transformation using the result of the first pass as the initial approximation.
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Maslov, I.V., Gertner, I. (2009). A Unified Direct Approach to Image Registration and Object Recognition with a Hybrid Evolutionary Algorithm. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence. ICIC 2009. Lecture Notes in Computer Science(), vol 5755. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04020-7_9
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DOI: https://doi.org/10.1007/978-3-642-04020-7_9
Publisher Name: Springer, Berlin, Heidelberg
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