Titlebook: Applications of Evolutionary Computation in Image Processing and Pattern Recognition; Erik Cuevas,Daniel Zaldívar,Marco Perez-Cisneros Boo

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Book 2016 community can learn the way in whichimage processing and pattern recognition problems can be translated into anoptimization task. The book has been structured so that each chapter can beread independently from the others. It can serve as reference book for studentsand researchers with basic knowled

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1868-4394 be translated into anoptimization task. The book has been structured so that each chapter can beread independently from the others. It can serve as reference book for studentsand researchers with basic knowled978-3-319-37099-6978-3-319-26462-2Series ISSN 1868-4394 Series E-ISSN 1868-4408

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Image Segmentation Based on Differential Evolution Optimization, efficient but also does not require prior assumptions whatsoever about the image. The method is likely to be most useful for applications considering different and perhaps initially unknown image classes. Experimental results demonstrate the algorithm’s ability to perform automatic threshold select

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Estimation of Multiple View Relations Considering Evolutionary Approaches,he case with classic RANSAC. The rules for the generation of candidate solutions (samples) are motivated by the behavior of the immunological system in human beings. As a result, the approach can substantially reduce the number of iterations but still preserves the robust capabilities of RANSAC. The

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