Using high level information for region grouping
Effective labeling for an image indexing system requires all objects in the image to be identified. This identification process can be performed by extracting components of the objects and grouping these components together. We propose the use of image segmentation techniques as a first step to solve the problem of extracting these components automatically. The difficult task is how the grouping of these components is performed. This paper presents an approach in region grouping using high level information. This information permits image segments grouped into “more meamngfC regions. In this paper, we present the issues and problems involved in region grouping. Some experiment results will be presented.
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|Item Type:||Conference Paper|
|Additional Information:||Note: Aster Wardhani was based at Griffith University at the time of publication.|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Image Processing (080106)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
|Copyright Owner:||Copyright 1997 IEEE|
|Copyright Statement:||Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Deposited On:||13 Oct 2005|
|Last Modified:||09 Jun 2010 12:23|
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