The Early Image of Black Baseball by James E. Brunson

The Early Image of Black Baseball: Race and Representation in the Popular Press, 1871-1890 by James E. Brunson III
Requirements: PDF Reader 4.5 MB
Overview: This volume examines early black baseball as it was represented in the artwork and written accounts of the popular press. From contemporary postbellum articles, illustrations, photographs and woodcuts, a unique image of the black athlete emerges, one that was not always positive but was nonetheless central in understanding the evolving black image in American culture. Chapters cover press depictions of championship games, specific teams and athletes, and the fans and culture surrounding black baseball.
Genre: Non-Fiction – History

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Secure Image Transmission In Wireless Sensor Network …

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Microscope Image Processing

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Image Texture Analysis: Foundations, Models And Algorithms

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Logic-based Nonlinear Image Processing

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The Essential Guide To Image Processing

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The Essential Guide To Image Processing

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Image Processing For Remote Sensing

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Field Guide To Image Processing

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Type, Image, Message by Nancy Skolos, Thomas Wedell

Type, Image, Message: A Graphic Design Layout Workshop by Nancy Skolos, Thomas Wedell
Requirements: .PDF reader, 101,2 MB
Overview: Working with type and image and the integration of these two elements to create persuasive and effective design pieces are the foundations of good graphic design. Yet, very little practical information exists for these tasks. This book changes all it. It gives designers the practical know-how to combine type and image for dynamic effect as well as to use them in contrast to create tension and meaning in design. Creating strong layouts is the most important as well as the most challenging of any project. This book inspires through excellence by exhibiting great design work then deconstructing the processes in simple visual terms.
Genre: Non-Fiction > General

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Augustus: Image and Substance by Barbara Levick

Augustus: Image and Substance by Barbara Levick
Requirements: .PDF reader, 11.4MB
Overview: Throughout a long and spectacularly successful political life, the Emperor Augustus (63BC-AD14) was a master of spin. Barbara Levick exposes the techniques which he used to disguise the ruthlessness of his rise to power and to enhance his successes once power was achieved.
There was, she argues, less difference than might appear between the ambitious youth who overthrew Anthony and Cleopatra and the admired Emperor of later years. However seemingly benevolent his autocracy and substantial his achievements, Augustus’ overriding purpose was always to keep himself and his dynasty in power. Similar techniques were practised against surviving and fresh opponents, but with increasing skill and duplicity, and in the end the exhausted members of the political classes were content to accept their new ruler. This book charts the stages of Augustus’ rise, the evolution of his power and his methods of sustaining it, and finally the ways in which he used artists and literary men to glorify his image for his own time and times to come.
This fascinating story of the realities of power in ancient Rome has inescapable contemporary resonance and will appeal equally to students of the Ancient World and to the general reader.
Genre: Non-Fiction > Biographies & Memoirs

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Feature Extraction and Image Processing


Feature Extraction and Image Processing
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Essential Principles of Image Sensors


Essential Principles of Image Sensors
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Machine Learning and Image Processing by Himanshu Singh

Practical Machine Learning and Image Processing by Himanshu Singh
Requirements: .PDF reader, 4,8 MB
Overview: Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You’ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You’ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you’ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application.
Genre: Non-Fiction > Tech & Devices

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