Data Fusion Techniques for Nondestructive Evaluation and Medical Image Analysis

Released on by Soumya De
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  • Data Fusion Techniques for Nondestructive Evaluation and Medical Image Analysis Book Detail

  • Author : Soumya De
  • Release Date : 2013
  • Publisher :
  • Genre : Image processing
  • Pages : 0
  • ISBN 13 :
  • File Size : 88,88 MB
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Data Fusion Techniques for Nondestructive Evaluation and Medical Image Analysis by Soumya De PDF Summary

Book Description: "Data fusion is a technique for combining data obtained from multiple sources for an enhanced detection or decision. Fusion of data can be done at the raw-data level, feature level or decision level. Applications of data fusion include defense (such as battlefield surveillance and autonomous vehicle control), medical diagnosis and structural health monitoring. Techniques for data fusion have been drawn from areas such as statistics, image processing, pattern recognition and computational intelligence. This dissertation includes investigation and development of methods to perform data fusion for nondestructive evaluation (NDE) and medical imaging applications. The general framework for these applications includes region-of-interest (ROI) detection followed by feature extraction and classification of the detected ROI. Image processing methods such as edge detection and projection-based methods were used for ROI detection. The features extracted from the detected ROIs include texture, color, shape/geometry and profile-based correlation. Analysis and classification of the detected ROIs was performed using feature- and decision-level data fusion techniques such as fuzzy-logic, statistical methods and voting algorithms"--Abstract, leaf iv

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Applications of NDT Data Fusion

Applications of NDT Data Fusion

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Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than on

Medical Image Processing

Medical Image Processing

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The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus o