A top-down region dividing approach for image segmentation

Document Type

Article

Publication Date

6-1-2008

Abstract

Histogram-based and region-based segmentation approaches have been widely used in image segmentation. Difficulties arise when we use these techniques, such as the selection of a proper threshold value for the histogram-based technique and the over-segmentation followed by the time-consuming merge processing for the region-based technique. To provide efficient algorithms that not only produce better segmentation results but also maintain low computational complexity, a novel top-down region dividing based approach is developed for image segmentation, which combines the advantages of both histogram-based and region-based approaches. Experimental results show that our algorithm can efficiently perform image segmentation without distorting the spatial structure of an image. Furthermore, two potential applications in medical image analysis are presented to show the advantages of using the proposed algorithm. © 2007 Elsevier Ltd. All rights reserved.

Identifier

38949148949 (Scopus)

Publication Title

Pattern Recognition

External Full Text Location

https://doi.org/10.1016/j.patcog.2007.11.020

ISSN

00313203

First Page

1948

Last Page

1960

Issue

6

Volume

41

Fund Ref

National Science Foundation

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