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This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of tensor fields. Instead of specific applications, it explores methodological structures on which they are built.
Breast cancer is a major health problem in the Western world, where it is the most common cancer among women. As applications of image analysis go, medical applications are tough in general, and breast cancer image analysis is one of the toughest.
Image analysis is one of the most challenging areas in today's computer sci ence, and image technologies are used in a host of applications.
Mathematical morphology (MM) is a theory for the analysis of spatial structures. The purpose of the present book is to provide the image analysis community with a snapshot of current theoretical and applied developments of MM.
Written by the pioneers of local binary patterns, and including a wealth of illustrations, this book gives those working with LBPs a single-source, comprehensive resource on the uses of LBP methodology, in both spatial and spatiotemporal domains.
Shape Reconstruction from Apparent Contours
Provides the image analysis community with a sampling from the developments in the theoretical (deterministic and stochastic) and computational aspects of mathematical morphology and its applications to image and signal processing. This book consists of the papers presented at the ISMM'96.
The discrete Fourier transform (DFT) is an extremely useful tool that finds application in many different disciplines.
This book traces progress in photography since the first pinhole, or camera obscura, architecture. The text shows how new camera architectures create a need to master related projective geometries for calibration, binocular stereo, static or dynamic scene understanding.
Mathematical Morphology is a speciality in Image Processing and Analysis, which considers images as geometrical objects, to be analyzed through their interactions with other geometrical objects.
The book can be read both by specialists and graduate students in computer science, electrical engineering or mathematics who take an interest in data evaluations by approximation or interpolation, in particular data obtained in an image analysis context.
Contains the proceedings of the fifth International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing. This book covers areas, such as: decomposition of structuring functions and morphological operators, morphological discretization, filtering, connectivity and connected operators, and interpolation.
These techniques include 3D Radiology, 3D X-ray Computed Tomography (3D-CT), Single Photon Emission Computed Tomography (SPECT), Positron Emission Tomography (PET).
This book presents a mathematical methodology for image analysis tasks at the edge of current research, including anisotropic diffusion filtering of tensor fields. Instead of specific applications, it explores methodological structures on which they are built.
2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
14th International Conference, Ile de Berder, France, June 1995
With contributions by numerous experts
With contributions by numerous experts
The concept of ridges has appeared numerous times in the image processing liter ature. The con cept of ridge as a manifold of critical points is a natural extension of the concept of local maximum as an isolated critical point.
2 Estimation of Affine Transformation 165 4 RECOVERY OF EPIPOLAR GEOMETRY FROM LINE SEGMENTS OR LINES 167 Line Segments or Straight Lines 168 4. 2 Solving Motion Using Line Segments Between Two Views 173 4. 4 Determining Camera Projection Matrices 201 4. 4 Summary 204 5 REDEFINING STEREO, MOTION AND OBJECT RECOGNITION VIA EPIPOLAR GEOMETRY 205 5.
Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis.
Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis.
14th International Conference, Ile de Berder, France, June 1995
The aim of this work, which contains the proceedings of a conference held in Amsterdam in June 1998, is to provide the image analysis community with a sampling of recent developments in theoretical and practical aspects of mathematical morphology and its applications to image and signal processing.
The concept of ridges has appeared numerous times in the image processing liter ature. The con cept of ridge as a manifold of critical points is a natural extension of the concept of local maximum as an isolated critical point.
It should be noted, however, that the new subtitle of the present volume may be somewhat misleading, since this book also treats (in Chapters 10 and 11) moire effects between repetitive layers, which are, in fact, geometric transformations of periodic layers, that are generally no longer periodic in themselves.
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