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Titlebook: Computational Intelligence in Image Processing; Amitava Chatterjee,Patrick Siarry Book 2013 Springer-Verlag Berlin Heidelberg 2013 computa

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Begrenzungen der Untersuchung und Ausblick,rmining the best matched target block in the image with respect to the template. This chapter develops a hierarchical algorithm of template matching using decision trees. Nodes in the tree, here, represent the features used for matching, while the arcs denote the conditions on the features to separa
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https://doi.org/10.1007/978-3-663-12386-6s of such approaches, as well as an overview of some of the most interesting ideas proposed in the recent literature in the field. The relevant methodologies refer to different applications of the optimization process, as a way of either improving the parameter setting in traditional retrieval tools
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https://doi.org/10.1007/978-3-663-12386-6ra lens, as in most compact imaging devices. To reduce these artifacts, most cameras have a red eye flash mode which fires a series of preflashes prior to picture capture. The major disadvantage of the preflash approach is power consumption (e.g., flash is the most power-consuming device on the came
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https://doi.org/10.1007/978-3-663-08988-9 Gaborfilters, gray-level co-occurrence matrix (GLCM) and fractal dimensions. Images are classified into appropriate grades by using .-nearest neighbor (.-NN) and support vector machine (SVM) classifiers. Experimental results show that a correct classification rate (CCR) of 93.7 % (or 92.7 %) can be
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https://doi.org/10.1007/978-3-663-08988-9clustering. It aims at simultaneously solving the following three different issues: (1) clustering the hyperspectral cube under analysis; (2) detecting the most discriminative bands of the hypercube; (3) avoiding the user to set a priori the number of data classes. The search process is guided by th
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Amitava Chatterjee,Patrick SiarryMost comprehensive and up-to-date treatment of computational intelligence techniques applied to image processing applications.Content is characterized by an emphasis on solving real-world problem.Cont
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