Interpolation Snakes With Shape Prior For Boundary Detection In Noisy Images


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Interpolation Snakes with Shape Prior for Boundary Detection in Noisy Images


Interpolation Snakes with Shape Prior for Boundary Detection in Noisy Images

Author: Silviu D. Minut

language: en

Publisher:

Release Date: 2007


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Proceedings Second International Conference on Information Processing


Proceedings Second International Conference on Information Processing

Author: L. M. Patnaik

language: en

Publisher: I. K. International Pvt Ltd

Release Date: 2013-12-30


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The proceedings features several key-note addresses in the areas of advanced information processing tools. This area has been recognized to be one of the key five technologies poised to shape the modern society in the next decade. It aptly focuses on the tools and techniques for the development of Information Systems. Emphasis is on pattern recognition and image processing, software engineering, mobile ad hoc networks, security aspects in computer networks, signal processing and hardware synthesis, optimization techniques, data mining and information processing.

Guide to Medical Image Analysis


Guide to Medical Image Analysis

Author: Klaus D. Toennies

language: en

Publisher: Springer

Release Date: 2017-03-29


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This comprehensive guide provides a uniquely practical, application-focused introduction to medical image analysis. This fully updated new edition has been enhanced with material on the latest developments in the field, whilst retaining the original focus on segmentation, classification and registration. Topics and features: presents learning objectives, exercises and concluding remarks in each chapter; describes a range of common imaging techniques, reconstruction techniques and image artifacts, and discusses the archival and transfer of images; reviews an expanded selection of techniques for image enhancement, feature detection, feature generation, segmentation, registration, and validation; examines analysis methods in view of image-based guidance in the operating room (NEW); discusses the use of deep convolutional networks for segmentation and labeling tasks (NEW); includes appendices on Markov random field optimization, variational calculus and principal component analysis.