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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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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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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques
of medical image analysis. A basic knowledge of fuzzy set is required, along with a solid understanding of mathematics and image processing.;
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Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques
, and distance/similarity measures Covers medical image enhancement using advanced fuzzy sets, including MATLAB (R)-based examples to;
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Multi-Sensor Data Fusion With MATLAB
Using MATLAB (R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion;
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Fuzzy Transforms for Image Processing and Data Analysis
This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;
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Fuzzy Transforms for Image Processing and Data Analysis
This book analyzes techniques that use the direct and inverse fuzzy transform for image processing and data analysis. The book is divided;
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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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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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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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Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations
; aggregation operators, fuzzy metrics and applications; belief function theory and its applications; current techniques to model, process and describe;
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Fuzzy Set and Its Extension
Its Extension: The Intuitionistic Fuzzy Set begins with an introduction, theory, and several examples to guide readers along. The first one;
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Information Processing and Management of Uncertainty in Knowledge-Based Systems
learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;
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Information Processing and Management of Uncertainty in Knowledge-Based Systems
learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;
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Information Processing and Management of Uncertainty in Knowledge-Based Systems
learning II; XAI; image processing; temporal data processing; text analysis and processing; fuzzy interval analysis; theoretical and applied;
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Application of Soft Computing and Intelligent Methods in Geophysics
networks with Matlab for geophysical data, as well as fuzzy logic and neuro-fuzzy concepts and their applications. In addition, it describes;
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Fuzzy Logic Control in Energy Systems with design applications in MATLAB (R)/Simulink (R)
systems. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can;
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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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Adaptive Image Processing
) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision. With three new chapters and updated;
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Advances In Intelligent Information Processing
advances in image and video processing are covered thoroughly with real-life applications. Some of the latest topics like rough fuzzy hybridization;
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Image Processing
Covering image processing from basics to advanced applications, you can learn how to master image processing and compression with this;
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Spline and Spline Wavelet Methods with Applications to Signal and Image Processi
This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete;
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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 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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