Now in its fifth edition, John C. Russ's monumental image processing reference is an even
more complete, modern, and hands-on tool than ever before. The Image Processing …

Introduction Imageprocessing, computervisionandcomputergraphicsareno…-search areas.
Pattern recognition and arti? cial intelligence were the origins of the explorationofthespace …

Active contour and surface models, also known as deformable models, are powerful image
segmentation techniques. Geometric deformable models implemented using level set …

Extensive growth in functional brain imaging, perfusion-weighted imaging, diffusion-
weighted imaging, brain map** and brain scanning techniques has led tremendously to …

Due to digitization, usual discrete signals generally present topological paradoxes, such as
the connectivity paradoxes of Rosenfeld. To get rid of those paradoxes, and to restore some …

This book proposes a new approach to the processing and analysis of medical images. We
introduce the term (and methodology) medical data understanding, as a new step in the way …

The watershed transformation is an efficient tool for segmenting grayscale images. An
original approach to the watershed (Bertrand, Journal of Mathematical Imaging and Vision …

In this chapter we deal with the techniques of image processing. These are operations that
start with a grey scale (or color) image and return another grey scale image. The next …

The video segmentation problem consists in the identification of the boundary between
consecutive shots. The common approach to solve this problem is based on dissimilarity …

In recent work, we introduced some topological notions for grayscale images based on a
cross-section topology. In particular, the notion of destructible point, which corresponds to …