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. Volume 2 proposes two physical models for describing valid flooding on a node- or edge-weighted graph, and establishes how to pass from one to;
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Mathematical morphology has developed a powerful methodology for segmenting images, based on connected filters and watersheds. We have;
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segmentation, texture analysis and encoding in ultrasound imaging and video. The goal of the first book (book 1 of 2 books) was to introduce the;
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This collective work identifies the latest developments in the field of the automatic processing and analysis of digital color images. For;
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An ideal resource for students, industrial engineers, and researchers, Signal Processing with Free Software Practical Experiments presents;
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motion in a host of settings. When used for medical imaging analysis and segmentation, the function assigns a label to each pixel or voxel and;
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part discusses segmentation theory and various methods for segmentation. The second part explores applications of lifestyle segmentation based;
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part discusses segmentation theory and various methods for segmentation. The second part explores applications of lifestyle segmentation based;
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reduction of undesired elements. Change detection is another kind of adaptive filtering for non--stationary signals, and is the basic tool in fault;
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tools for the numerical integration of such dynamical systems, nonlinear stochastic filtering and generalized Bayesian update theories for;
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and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature;
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Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on;
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the analytics elements and the measures that define segmentation success. He helps you build a strategy and methodology for introducing;
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on features extraction, computer vision, and pattern recognition; multispectral and color imaging; image filtering, segmentation, and super;
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Picture Restoration Adaptive Order Statistic Filtering of Still Images and Image Sequences Video Segmentation Based on Multiple Features for;
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This book provides a comprehensive introduction to current state-of-the-art auto-segmentation approaches used in radiation oncology for;
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Duplicating entire ERP system locally for backup, testing and mobile use - Navigation, sorting and filtering - Developers environment and;
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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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variety of industries. Part 2 offers an in-depth treatment of segmentation with practical topics, such as when and how to update your models. Part;
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for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet;
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for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet;
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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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Dealing with digital filtering methods for 1-D and 2-D signals, this book provides the theoretical background in signal processing;
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profitable and how to best serve their needs. Segmentation Strategies for Hospitality Managers: Target Marketing for Competitive Advantage is a;
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profitable and how to best serve their needs. Segmentation Strategies for Hospitality Managers: Target Marketing for Competitive Advantage is a;
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and improves their business segmentation planning and execution. What they need is a handbook for improving their organization's performance;
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