Paper Info
Title
Image segmentation towards new image representation methods
Abstract
Very low bit-rate video coding has recently become one of the most important areas of image communication and a large variety of applications have already been identified. Since conventional approaches are reaching a saturation point, in terms of coding efficiency, a new generation of video coding techniques, aiming at a deeper "understanding" of the image, is being studied. In this context, image analysis, particularly the identification of objects or regions in images (segmentation), is a very important step. This paper describes a segmentation algorithm based on split and merge. Images are first simplified using mathematical morphology operators, which eliminate perceptually less relevant details. The simplified image is then split according to a quad tree structure and the resulting regions are finally merged in three steps: merge, elimination of small regions and control of the number of regions.
Year
DOI
Venue
1995
10.1016/0923-5965(94)00031-D
SIGNAL PROCESSING-IMAGE COMMUNICATION
Keywords
Field
DocType
IMAGE SEGMENTATION,IMAGE REPRESENTATION,VERY LOW BIT-RATE VIDEO CODING,IMAGE SIMPLIFICATION,SPLIT AND MERGE,MATHEMATICAL MORPHOLOGY
Computer vision,Scale-space segmentation,Computer science,Range segmentation,Mathematical morphology,Segmentation,Image texture,Segmentation-based object categorization,Image processing,Theoretical computer science,Image segmentation,Artificial intelligence
Journal
Volume
Issue
ISSN
6
6
0923-5965
Citations 
PageRank 
References 
17
2.46
3
Authors
4
Name
Order
Citations
PageRank
Diogo Cortez1172.46
Paulo Nunes217116.79
Manuel Menezes de Sequeira3203.64
Fernando Pereira4177172124.79