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, and robotics. Written by experts in fractal-based image and video compression, A Concise Introduction to Image Processing using C;
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Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to;
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This book offers an introduction to remotely sensed image processing and classification in R using machine learning algorithms. It also;
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for more experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using;
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experienced readers, the first part of the book presents an introduction to Python, Python modules, reading and writing images using Python, and an;
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of partial 3D views of a scene. However using algorithms, it is possible to take a collection of stereo-pair images of a scene and then automatically;
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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and;
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The book provides a practical introduction to the most important topics in image and video processing using MATLAB (and its Image;
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Directed at third-year undergraduates and postgraduates this challenging text offers a complete and up-to-date introduction to computer;
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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and;
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In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the;
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Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two;
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Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two;
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) is important for modern information engineering. One-- and Multidimensional Signal Processing provides an introduction to the algorithmic basics;
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material. Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital;
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. Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing;
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yet been generally covered in most textbooks. Now, Digital Color Image Processing fills this pressing need with a detailed introduction to;
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higher-level text: Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators, and;
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higher-level text: Provides a brief introduction to advanced fuzzy set theory, fuzzy/intuitionistic fuzzy aggregation operators;
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style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a;
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A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software;
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A Concise Introduction to Programming in Python, Second Edition provides a hands-on and accessible introduction to writing software;
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. This combination of theoretical treatment and C code implementation allows readers to gain a thorough insight into these techniques. Important;
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. No prior knowledge of ImageJ is needed. Familiarity with Java programming will be required for readers to code their own routines using;
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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;
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Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins;
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OpenGL Graphics Through Applications is a practical introduction to Computer Graphics with an emphasis on understanding through practice;
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