Titlebook: Engineering Applications of Soft Computing; Margarita-Arimatea Díaz-Cortés,Erik Cuevas,Raúl Ro Book 2017 Springer International Publishing

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https://doi.org/10.1057/9781137012166and remote sensing. PD involves two critical aspects: similarity measurement and search strategy. The simplest available PD method finds the best possible coincidence between the images through an exhaustive computation of the Normalized cross-correlation (NCC) values (similarity measurement) for al

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Motion Estimation Algorithm Using Block-Matching and Harmony Search Optimization, is to find the best-matching block within a search space. Harmony search (HS) algorithm is a metaheuristic optimization method inspired by the music improvisation process, in which a musician polishes the pitches to obtain a better state of harmony. In this chapter, a BM algorithm that combines HS

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1868-4394 ntexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others..978-3-319-86257-6978-3-319-57813-2Series ISSN 1868-4394 Series E-ISSN 1868-4408

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Teaching the Early Modern Period is to find the best-matching block within a search space. Harmony search (HS) algorithm is a metaheuristic optimization method inspired by the music improvisation process, in which a musician polishes the pitches to obtain a better state of harmony. In this chapter, a BM algorithm that combines HS

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Motion Estimation Algorithm Using Block-Matching and Harmony Search Optimization,ideo coding applications. On the other hand, block-matching (BM) algorithms are the most popular methods due to their effectiveness and simplicity for both software and hardware implementations. A BM approach assumes that the movement of pixels within a defined region of the current frame can be mod

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Gravitational Search Algorithm Applied to Parameter Identification for Induction Motors, use the biggest energy percentages in industrial facilities. This consume depends on the operation conditions of the induction motor imposed by its internal parameters. In this approach, the parameter estimation process is transformed into a multidimensional optimization problem where the internal