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Nature Inspired Optimization Techniques for Image Processing Applications
Engels
249 b
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This book provides a platform for exploring nature-inspired optimization techniques in the context of imaging applications. Optimization has become part and parcel of all computational vision applications, and since the amount of data used in these applications is vast, the need for optimization techniques has increased exponentially. However, their accuracy and complexity are a major area of concern when it comes to practical applications. Numerous optimization techniques are available, but those that are nature inspired offer several advantages and novel nature-inspired optimization techniques are constantly being developed encouraging. However, these optimization techniques have not yet been fully explored in the context of imaging applications. By presenting interdisciplinary concepts, ranging from optimization to image processing, the book appeals to a broad readership, while also encouraging budding engineers to pursue and employ innovative nature-inspired techniques for image processing applications.
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