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Techniques for Generation of Random Fields for Image Segmentation

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Guide to Medical Image Analysis: Methods and Algorithms

selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis;

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Advanced Concepts in Image Segmentation

. Currently, the developed segmentation techniques like Template Matching, Spatial and Temporal ARMA Processes, Mean Shift Iterative Algorithm;

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Metaheuristic Algorithms for Image Segmentation

also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation;

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Metaheuristic Algorithms for Image Segmentation

also been implemented using various metaheuristics and hybridization techniques leading to a broader understanding of how image segmentation;

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Markov Random Field Modeling in Image Analysis

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables;

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Biomedical Image Segmentation

As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and;

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Artificial Intelligence Techniques for Medical Image Analysis

Automated image classification and segmentation techniques are becoming increasingly important in the current medical field for pathology;

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Image Processing with MATLAB

segmentation methods, including thresholding techniques as well as K-means and fuzzy C-means clustering techniques. The authors also explore Markov;

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Biomedical Image Segmentation

As one of the most important tasks in biomedical imaging, image segmentation provides the foundation for quantitative reasoning and;

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Advances in Spatio-Temporal Segmentation of Visual Data

transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and;

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Medical Imaging Technology

approaches for detecting osteoarthritis, breast carcinoma and cardiovascular conditions, image guided biopsy and segmentation techniques for;

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Hybrid Image Processing Methods for Medical Image Examination

) image processing methods, this work focuses on implementation of possible hybrid image examination techniques for medical images. It describes;

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Dental Image Analysis for Disease Diagnosis

of Interest extraction and analysis; and the role of computational clustering techniques for segmentation of teeth and dental caries. The book also;

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Video Coding

in this book three main approaches as second generation video coding techniques: Segmentation-based schemes Model Based Schemes;

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Image-Based Geometric Modeling and Mesh Generation

. It is well known that FEM is currently well-developed and efficient, but mesh generation for complex geometries (e.g., the human body) still;

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Image Processing in Radiation Therapy

for the registration, segmentation, reconstruction, and evaluation of imaging data. It describes how these tools are used in radiation;

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Topics in Medical Image Processing and Computational Vision

-of-the-art in the various multi-disciplinary solutions for Medical Image Processing and Computational Vision, including research, techniques;

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Towards Image Understanding

applied for image segmentation. To understand the strengths and limitations of different DCMs, a comparative study to review eight major snakes;

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Stochastic Modeling for Medical Image Analysis

for improving the performance of object detection, segmentation, alignment, and analysis in a number of important CAD applications. The;

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Multi Modality State of the Art Medical Image Segmentation and Registration Meth

With the advances in image guided surgery for cancer treatment, the role of image segmentation and registration has become very critical;

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A Beginner's Guide to Image Preprocessing Techniques

morphology transformation, and segmentation pre-processing techniques Illustrates a combination of basic and advanced pre-processing;

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Python Image Processing Cookbook

learning. As you advance, you'll get to grips with face morphing and image segmentation techniques. With an emphasis on practical solutions, this;

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Computational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A;

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Computational Intelligence in Medical Imaging

CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further research A;

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Digital Image Processing

. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a;

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Hybrid Metaheuristics for Image Analysis

This book presents contributions in the field of computational intelligence for the purpose of image analysis. The chapters discuss how;

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