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Front-End Vision and Multi-Scale Image Analysis

Bart M. ter Haar Romeny
Organization: Utrecht University, the Netherlands
Department: Image Sciences Institute and Experimental Audiology
Book information

Publisher: Kluwer Academic Publishers
Copyright year: 2003
ISBN: 1402015070
Medium: Paperback
Includes: CD-ROM
Pages: 464
Out of print?: Y
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Book cover image

Front-End Vision and Multi-Scale Image Analysis | Apertures and the Notion of Scale | Foundations of Scale-Space | The Gaussian Kernel | Gaussian Derivatives | Multi-scale Derivatives: Implementations | Differential Structure of Images | Natural Limits on Observations | Differentiation and Regularization | The Front-End Visual System--the Retina | A Scale-Space Model for the Retinal Sampling | The Front-End Visual System--LGN and Cortex | The Front-End Visual System--Cortical Columns | Deep Structure I. Watershed Segmentation | Deep Structure II. Catastrophe Theory | Deep Structure III. Topological Numbers | Deblurring Gaussian Blur | Multi-scale Optic Flow | Color Differential Structure | Steerable Kernels | Scale-Time | Geometry-Driven Diffusion | Epilog: Introduction to Mathematica, The Concept of Convolution, Installing the Book and Packages, First Start with Mathematica: Tips & Tricks

Intended for undergraduate and graduate students and all who are interested in computer vision, medical imaging, and human visual perception, this interactive book presents a tutorial approach to mastering the mathematics of computer vision and image analysis. One purpose of the book is to bridge the gap between the world of human visual perception and the world of multi-scale computer vision theory and applications. All chapters are written in Mathematica, and the text and code included invite readers to explore computer vision on their own.

*Applied Mathematics > Visualization
*Arts and Humanities > Visual Art
*Mathematics > Calculus and Analysis > Differential Equations
*Mathematics > Discrete Mathematics
*Mathematics > Geometry > Computational Geometry
*Science > Biology
*Science > Medicine
*Science > Physics > Optics
*Social Science > Perception

Computer vision, human vision
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*Front-End Vision and Multi-Scale Image Analysis   [in Books]