Strategies for image segmentation combining region and boundary information

Image segmentation has been, and still is, an important research area in Computer Vision, and hundreds of segmentation algorithms have been proposed in the last 30 years. However, elementary segmentation techniques based on either boundary or region information often fail to produce accurate segment...

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Bibliographic Details
Published inPattern recognition letters Vol. 24; no. 1-3; pp. 375 - 392
Main Authors Muñoz, X, Freixenet, J, Cufı́, X, Martı́, J
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.01.2003
Subjects
Edge detection
Image segmentation
Information fusion
Region detection
Image segmentation
Region detection
Edge detection
Information fusion
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Summary:Image segmentation has been, and still is, an important research area in Computer Vision, and hundreds of segmentation algorithms have been proposed in the last 30 years. However, elementary segmentation techniques based on either boundary or region information often fail to produce accurate segmentation results on their own. In the last few years, there has therefore been a trend towards algorithms that take advantage of their complementary nature. This paper reviews various segmentation proposals that integrate edge and region information and highlights different strategies and methods for fusing such information. The key objective is to point out the advantages and disadvantages of the various approaches, as well as to comment upon new and interesting ideas that perhaps have not been properly exploited.
ISSN:0167-8655
1872-7344
DOI:10.1016/S0167-8655(02)00262-3