9786200435408 - Automatic Gray Level Image Correction using Artificial Intelligence: Automatic Gray Level Image Enhancement: An Optimization Approach di Kotte, Sowjanya (9 risultati)

Condizione: New.

Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Taschenbuch. Condizione: Neu. Automatic Gray Level Image Correction using Artificial Intelligence | Automatic Gray Level Image Enhancement: An Optimization Approach | Sowjanya Kotte | Taschenbuch | 56 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200435408 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Image enhancement plays a crucial role in almost every image processing applications. The main aim of the image enhancement or correction is to improve the quality of the image by maximizing the information content in the given input image. The quality of the input image is improved by selecting the optimal parameter based on objective function during the optimization process through the global transformation function. So, the objective function plays an important role in the optimization process. In this context, this book presents a detailed study of different objective functions for image correction based popular bio and nature-inspired optimization algorithms such as Back Tracking Search (BSA), Improved Differential Search (IDS), Gaseous Brownian Motion Optimization (GBMO) and Wind Driven Optimization (WDO). The results obtained will clearly show qualitative and quantitative improvement. I hope this book is most helpful for the researchers and master's level students who are working in the area of optimization and digital image processing. 56 pp. Englisch.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kotte SowjanyaDr.Sowjanya Kotte was Assistant Professor in Electronics and Communications Engineering, Kakatiya Institute of Technology and Science Warangal (KITSW), Telangana State, India. She received her B.Tech., M.Tech., and Ph.D.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Image enhancement plays a crucial role in almost every image processing applications. The main aim of the image enhancement or correction is to improve the quality of the image by maximizing the information content in the given input image. The quality of the input image is improved by selecting the optimal parameter based on objective function during the optimization process through the global transformation function. So, the objective function plays an important role in the optimization process. In this context, this book presents a detailed study of different objective functions for image correction based popular bio and nature-inspired optimization algorithms such as Back Tracking Search (BSA), Improved Differential Search (IDS), Gaseous Brownian Motion Optimization (GBMO) and Wind Driven Optimization (WDO). The results obtained will clearly show qualitative and quantitative improvement. I hope this book is most helpful for the researchers and master's level students who are working in the area of optimization and digital image processing.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Image enhancement plays a crucial role in almost every image processing applications. The main aim of the image enhancement or correction is to improve the quality of the image by maximizing the information content in the given input image. The quality of the input image is improved by selecting the optimal parameter based on objective function during the optimization process through the global transformation function. So, the objective function plays an important role in the optimization process. In this context, this book presents a detailed study of different objective functions for image correction based popular bio and nature-inspired optimization algorithms such as Back Tracking Search (BSA), Improved Differential Search (IDS), Gaseous Brownian Motion Optimization (GBMO) and Wind Driven Optimization (WDO). The results obtained will clearly show qualitative and quantitative improvement. I hope this book is most helpful for the researchers and master's level students who are working in the area of optimization and digital image processing.