Detection of objects by integrating watersheds and critical point analysis

Fu, Guoyi and Hojjatoleslami, Ali and Colchester, Alan C. F. (2003) Detection of objects by integrating watersheds and critical point analysis. In: Ellis, Randy E. and Peters, Terry M., eds. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003 6th International Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, 109 -116. ISBN 978-3-540-20464-0. E-ISBN 978-3-540-39903-2. (doi:10.1007/978-3-540-39903-2_14) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:12103)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL: http://dx.doi.org/10.1007/978-3-540-39903-2_14

Abstract

This paper presents an improved method for detection of "significant" low-level objects in medical images. Information derived from watershed regions is used to select and refine saddle points in the discrete domain and to construct the watersheds & watercourses (ridges and valleys). The method overcomes previous topological problems where multiple redundant saddle points are detected in digital images. We also demonstrate an improved method of pruning the tessellation from which salient objects are defined. Preliminary evaluation was based on theoretical analysis, visual inspection of a set of medical images, and human observer experiments with promising result.

Item Type:	Book section
DOI/Identification number:	10.1007/978-3-540-39903-2_14
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions:	Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research
Depositing User:	M.P. Stone
Date Deposited:	10 Sep 2008 09:39 UTC
Last Modified:	16 Nov 2021 09:50 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/12103 (The current URI for this page, for reference purposes)

University of Kent Author Information

Hojjatoleslami, Ali.

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Colchester, Alan C. F..

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