Please use this identifier to cite or link to this item:
https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/9658
Title: | Image Segmentation Through Operators Based on Topology |
Authors: | Gilles Bertrand Jeanchristophe Everat |
Issue Date: | 1997 |
Publisher: | Electronic Imaging |
Abstract: | We consider a cross-section topology that is defined on grayscale images. The main interest of this topology is that it keeps track of the grayscale information of an image. We define some basic notions relative to that topology. Furthermore, we indicate how to acquire a homotopic kernel and a leveling kernel. Such kernels can be seen as "ultimate" topological simplifications of an image. A kernel of a real image, though simplified, ,s still an intricated image from a topological point of view. We introduce the notion of an irregular region. The iterative removal of irregular regions in a kernel enables us to selectively simplify the topology of the image. Through an example, we show that this notion leads to a method for segmenting some grayscale images without the need to define and tune parameters. |
URI: | http://gnanaganga.inflibnet.ac.in:8080/jspui/handle/123456789/9658 |
Appears in Collections: | Articles to be qced |
Files in This Item:
File | Size | Format | |
---|---|---|---|
Image segmentation through operators based on topology- Gilles Bertrand, Jean-christophe Everat and Michel Couprie.pdf Restricted Access | 3 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.