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Book: Computer Fundamentals by Pradeep K. Sinha & Priti Sinha - Download PDF EBook for computer science students. Writer: Pradeep K. Download Computer Fundamentals - P.K Sinha PDF Free. Develope · C++ GUIDE REFERENCE GUIDE (eBook Rental) C Programming Learning, Computer. K. Sinha & Priti Sinha complete pdf notes, eBook download Download Computer Fundamentals pdf ebook and notes by P. K. Sinha & Priti.
However, the integration of an image-based measurement system, with emphasis on smaller memory space and shorter execution time, requires a higher level of awareness of design principles and associated performance parameters. With this context, the book covers principles related to the intrinsic characteristics of captured images, the hardware aspects of image signal generation, and the mathematical concepts of image signal processing from an algorithmic perspective of developing preprocessing software.
In addition to bridging the hardware-software gap, this book provides a basis to identify some of the key design parameters and potential interface or processing limitations at an early stage of application development. In this respect, topics covered in the book are suitable for students and researchers as well as for a wide spectrum of end users, application development engineers, and system integrators from both the image processing and machine vision communities.
In building an algorithmic framework for preprocessing tasks, I adopted an approach akin to mathematical modeling and signal analysis to provide a conceptual understanding of the basic principles and their relationship to image acquisition parameters.
Most of the hardware modules and preprocessing functions covered in this book are underpinned by an extensive collection of models and derivations.
Other than providing insight to the design features of the front-end components optics, sensors, and interface , this mathematical framework helps to 1 highlight some of the underlying assumptions in the operation of imaging hardware and 2 identify sources of various preprocessing parameters generally assigned by default in commercial application software. With an increasing trend toward customization and embedded design, this approach also offers a framework to select and evaluate imaging hardware and functions, and to sequence individual processing functions in the context of specific application requirements.
Furthermore, since such requirements may be subsumed in the early stages of hardware design, selection, integration, and algorithm development, this book offers the theoretical foundations necessary to adapt many generic results. I hope that these design details and mathematical concepts will enable readers to effectively integrate the front-end hardware and preprocessing functions into their application platform.
Although I have included a significant number of original derivations, I have drawn much of the material from the literature. I have attempted to cite original sources as far as possible; however, due to the continued growth of the related subject areas and the large number of publications that host imaging literature, my reference lists are incomplete.
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Computer Fundamentals – by P.K.Sinha Free PDF
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