Model-Based Compression for 3D Medical Images Stored in the DICOM Format
Journal of Medical Systems
A blob detector in color images
Proceedings of the 6th ACM international conference on Image and video retrieval
Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
Computers in Biology and Medicine
Choledochol cyst: an automated preliminary detection system using MRCP images
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Geometrical PDEs based on second-order derivatives of gauge coordinates in image processing
Image and Vision Computing
Bayesian Registration via Local Image Regions: Information, Selection and Marginalization
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Qualitative and quantitative behaviour of geometrical PDEs in image processing
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A Riemannian scalar measure for diffusion tensor images
Pattern Recognition
Optic flow from multi-scale dynamic anchor point attributes
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Blurred correlation versus correlation blur
DSSCV'05 Proceedings of the First international conference on Deep Structure, Singularities, and Computer Vision
Growing Least Squares for the Analysis of Manifolds in Scale-Space
Computer Graphics Forum
Improving density based clustering with multi-scale analysis
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
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Front-End Vision and Multi-Scale Image Analysis is a tutorial in multi-scale methods for computer vision and image processing. It builds on the cross fertilization between human visual perception and multi-scale computer vision (`scale-space') theory and applications. The multi-scale strategies recognized in the first stages of the human visual system are carefully examined, and taken as inspiration for the many geometric methods discussed. All chapters are written in Mathematica, a spectacular high-level language for symbolic and numerical manipulations. The book presents a new and effective approach to quickly mastering the mathematics of computer vision and image analysis. The typically short code is given for every topic discussed, and invites the reader to spend many fascinating hours `playing' with computer vision. Front-End Vision and Multi-Scale Image Analysis is intended for undergraduate and graduate students, and all with an interest in computer vision, medical imaging, and human visual perception.