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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB (R) courses dealing with;

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Fundamentals of Image, Audio, and Video Processing Using MATLAB (R)

researchers in the field of pattern recognition, computer vision and content-based retrieval, and for students of MATLAB (R) courses dealing with;

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Image Processing with MATLAB

Image Processing with MATLAB (R): Applications in Medicine and Biology explains complex, theory-laden topics in image processing through;

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Digital Image Fundamentals in MATLAB

The book is mainly concerned with the fundamental Digital Image Processing (DIP) problems much found in the DIP textbooks. Emphasis has;

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Practical Image and Video Processing Using MATLAB

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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Understanding Digital Image Processing

with examples from applications and ready-to-use implementations of concepts in MATLAB (R). Program code of some important concepts;

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Understanding Digital Image Processing

with examples from applications and ready-to-use implementations of concepts in MATLAB (R). Program code of some important concepts;

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Fundamentals Of Digital Image Processing

classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving;

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Visual Media Processing Using Matlab Beginner'S Guide

Written in a friendly, Beginner's Guide format, showing the user how to use the digital media aspects of Matlab (image, video, sound) in a;

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Sea Ice Image Processing with MATLAB (R)

Sea Ice Image Processing with MATLAB addresses the topic of image processing for the extraction of key sea ice characteristics from digital;

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Sea Ice Image Processing with MATLAB (R)

Sea Ice Image Processing with MATLAB addresses the topic of image processing for the extraction of key sea ice characteristics from digital;

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Digital Image Interpolation in Matlab

This book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab (R) implementation. It;

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Digital Image Processing

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB (R) presents an;

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Digital Image Processing

Avoiding heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB (R) presents an;

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Encyclopedia of Matlab

based on the engineering of MATLAB as a tool for computing. The book has several chapters dealing with numerous professional fields and can be;

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Fuzzy Image Processing and Applications with MATLAB

of essential principles and background knowledge. Fuzzy Image Processing and Applications with MATLAB (R) presents the integral science and;

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Digital Image Processing: A Signal Processing and Algorithmic Approach

described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs;

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Digital Image Processing

described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs;

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Digital Signal and Image Processing using MATLAB, Volume 3

techniques from this field. More than 200 programs and functions are provided in the MATLAB language, with useful comments and guidance, to;

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Digital Signal and Image Processing using MATLAB, Volume 2

supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLAB(R;

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Colorectal Cancer MRI Image Segmentation Using Image Processing Techniques

resonance imaging (MRI) established itself as the primary method for detection and staging in patients with colorectal cancer. MRI images;

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Practical MATLAB

to solve your programming problems, starting with a brief primer on MATLAB and the fundamentals of the MATLAB programming language. Then;

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Feature Extraction and Image Processing for Computer Vision

computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to;

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