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This book provides an accessible and comprehensive overview of the state of the art in multimodal, multiparametric preclinical imaging;
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The widespread use of image fusion methods (eg: in military applications, surveillance or medical diagnostics), has increased the need for;
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The growth in the use of sensor technology has led to the demand for image fusion: signal processing techniques that can combine;
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of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its;
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The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present;
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Remote Sensing Image Fusion: A Practical Guide gives an introduction to remote sensing image fusion providing an overview on the sensors;
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Image fusion in remote sensing or pansharpening involves fusing spatial (panchromatic) and spectral (multispectral) images that are;
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, preclinical and clinical applications of LED-based photoacoustic imaging. Apart from preclinical imaging studies and early clinical pilot studies;
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, preclinical and clinical applications of LED-based photoacoustic imaging. Apart from preclinical imaging studies and early clinical pilot studies;
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Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources;
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Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources;
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Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for;
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, image fusion and information extraction. The third edition reflects renewed international interest in pulse image processing with updated;
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, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich;
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complementary steps used to obtain high-resolution images: image registration and image fusion. Details techniques for color image;
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complementary steps used to obtain high-resolution images: image registration and image fusion. Details techniques for color image;
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detecting lung cancer, image fusion, and simulating fluid flows for cardiovascular applications. It offers a useful guide for students, lecturers;
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The fusion of remote sensed images can integrate the spectral information of single sensor or the information from different kinds;
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, restoration, and reconstruction; image segmentation and feature extraction; registration; clustering, pattern classification, and data fusion. With;
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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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This book presents the state-of-the-art for development of fusion proteins, demonstrates current concepts, describes multiple applications;
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The use of small animal models in basic and preclinical sciences constitutes an integral part of testing new pharmaceutical agents prior to;
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Pro Oracle Fusion Applications is your one-stop source for help with installing Oracle's Fusion Applications suite in your on-premise;
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This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their;
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The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast;
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combined to produce single images of superior quality. The generic name for such techniques is frame fusion. Using frame fusion, it is possible to;
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