Title
Yet Another Survey on Image Segmentation: Region and Boundary Information Integration
Abstract
Image segmentation has been, and still is, a relevant research area in Computer Vision, and hundreds of segmentation algorithms have been proposed in the last 30 years. However, it is well known that elemental segmentation techniques based on boundary or region information often fail to produce accurate segmentation results. Hence, in the last few years, there has been a tendency towards algorithms which take advantage of the complementary nature of such information. This paper reviews different segmentation proposals which integrate edge and region information and highlights 7 different strategies and methods to fuse such information. In contrast with other surveys which only describe and compare qualitatively different approaches, this survey deals with a real quantitative comparison. In this sense, key methods have been programmed and their accuracy analyzed and compared using synthetic and real images. A discussion justified with experimental results is given and the code is available on Internet.
Year
DOI
Venue
2002
10.1007/3-540-47977-5_27
ECCV (3)
Keywords
Field
DocType
image segmentation,different strategy,segmentation algorithm,elemental segmentation technique,different segmentation proposal,accurate segmentation result,real image,region information,real quantitative comparison,qualitatively different approach,boundary information integration,information integration
Data mining,Scale-space segmentation,Computer science,Segmentation-based object categorization,Image segmentation,Region growing,Artificial intelligence,Minimum spanning tree-based segmentation,Computer vision,Information integration,Segmentation,Image texture,Machine learning
Conference
Volume
ISSN
ISBN
2352
0302-9743
3-540-43746-0
Citations 
PageRank 
References 
211
7.27
21
Authors
5
Search Limit
100211
Name
Order
Citations
PageRank
Jordi Freixenet188764.40
Xavier Muñoz2108459.52
David Raba329814.75
Joan Martí424610.91
Xavier Cufí526615.85