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Breast --- Image analysis. --- Cancer --- Diagnosis. --- Imaging. --- Radiography.

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This book provides an introduction to the use of geometric partial differential equations in image processing and computer vision. This research area brings a number of new concepts into the field, providing a very fundamental and formal approach to image processing. State-of-the-art practical results in a large number of real problems are achieved with the techniques described in this book. Applications covered include image segmentation, shape analysis, image enhancement, and tracking. This book will be a useful resource for researchers and practitioners. It is intended to provide information for people investigating new solutions to image processing problems as well as for people searching for existent advanced solutions.

Image analysis. --- Differential equations, Partial. --- Geometry, Differential.

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Tropical forests --- Plant cover --- cartography --- Radar --- Geographical information systems --- Image analysis --- Satellites

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Form perception --- Image analysis --- Image processing --- Digital techniques --- Form perception. --- Image analysis. --- Digital techniques. --- Digital image processing --- Digital electronics --- Form discrimination --- Shape discrimination --- Shape perception --- Perception --- Visual perception --- Figure-ground perception --- Analysis of images --- Image interpretation --- Photographs --- Forensic sciences --- Imaging systems --- Inspection --- Image processing - Digital techniques

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The human visual system as a functional unit including the eyes, the nervous system, and the corresponding parts of the brain certainly ranks among the most important means of human information processing. The e?ciency of the biological systems is beyond the capabilities of today’s technical systems, even with the fastest available computer systems. However, there are areas of application where digital image analysis systems produce acceptable results. Systems in these areas solve very specialized tasks, they operate in a limited environment, and high speed is often not necessary. Several factors determine the economical application of technical vision systems: cost, speed, ?exibility, robu- ness, functionality, and integration with other system components. Many of the recent developments in digital image processing and pattern recognition show some of the required achievements. Computer vision enhances the capabilities of computer systems • in autonomously collecting large amounts of data, • in extracting relevant information, • in perceiving its environment, and • in automatic or semiautomatic operation in this environment. The development of computer systems in general shows a steadily increasing need in computational power, which comes with decreasing hardware costs.

Stochastic processes --- Mathematical statistics --- Image processing --- Image analysis --- Traitement d'images --- Analyse d'images --- Digital techniques --- Techniques numériques --- Engineering & Applied Sciences --- Applied Physics --- Technology - General --- Image analysis. --- Digital techniques. --- Techniques numériques --- EPUB-LIV-FT SPRINGER-B --- Computer science. --- Computer graphics. --- Image processing. --- Pattern recognition. --- Computer Science. --- Computer Graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computer vision. --- Optical pattern recognition. --- beeldanalyse --- Optical data processing. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Engineering graphics --- Optical equipment --- Pattern perception.