A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms.

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Research Abstract Details 

Research Abstract Table of Contents

Jump to the:

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Abstract Text:

Mingrui Zhang,L O Hall,D B Goldgof,

Segmentation of an image into regions and the labeling of the regions is a challenging problem. In this paper, an approach that is applicable to any set of multifeature images of the same location is derived. Our approach applies to, for example, medical images of a region of the body; repeated camera images of the same area; and satellite images of a region. The segmentation and labeling approach described here uses a set of training images and domain knowledge to produce an image segmentation system that can be used without change on images of the same region collected over time. How to obtain training images, integrate domain knowledge, and utilize learning to segment and label images of the same region taken under any condition for which a training image exists is detailed. It is shown that clustering in conjunction with image processing techniques utilizing an iterative approach can effectively identify objects of interest in images. The segmentation and labeling approach described here is applied to color camera images and two other image domains are used to illustrate the applicability of the approach.

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Publishing Authors By Initials

M Zhang,LO Hall,DB Goldgof,

For similar abstracts research abstracts see: abstracts research

PUBMED ID PMID:

MEDLINE DATE:

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: IEEE transactions on systems, man, and cybernetics

VOLUME: 32

Page Numbers: 571-82

Journal Abbreviation:

ISSN: 1083-4419

DAY: 4

MONTH: 02

YEAR: 2002

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 9890044

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Keywords Mesh Terms:

KEYWORDS:

MESH TERMS:

Chemical & Substance for Abstract: A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms. Information

Substance Name:

Registry Number:

Grant and Affiliation Information for A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms.

AFFILIATION: Dept. of Comput. Sci., Winona State Univ., MN, USA.

Country: United States

AGENCY:

GRANT:

ACRONYM:

MEDLINETA: IEEE Trans Syst Man Cybern B C

REFSOURCE:

DATABASENAME:

ACCESSION NUMBER:

Number Hits: 0

A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms Related Publications

• A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms.
• Automatic tracking of SPAMM grid and the estimation of deformation parameters from cardiac MR images.