DocumentCode :
1398367
Title :
KSS: Using Region and Edge Maps to Detect Image Boundaries
Author :
Komati, Karin S. ; Salles, Evandro O T ; Sarcinelli-Filho, Mario
Author_Institution :
Univ. Fed. do Espirito Santo, Vitória, Brazil
Volume :
13
Issue :
3
fYear :
2011
Firstpage :
46
Lastpage :
52
Abstract :
This fully automated process uses edge map information to eliminate false boundaries in an image´s region map, and region map information to remove noise in its edge map. It then integrates the two maps into a single, final result. Experiments on a large dataset of natural color images show that this approach matches human perception better than individual methods in terms of both quantity and quality.
Keywords :
edge detection; image colour analysis; image denoising; natural scenes; edge map information; human perception; image boundaries; image denoising; natural color image datasets; region map information; Detectors; Image edge detection; Image segmentation; Noise measurement; Pixel; Region growing; color segmentation; edge detection; image processing; image segmentation; scientific computing; scientific visualizations;
fLanguage :
English
Journal_Title :
Computing in Science & Engineering
Publisher :
ieee
ISSN :
1521-9615
Type :
jour
DOI :
10.1109/MCSE.2010.148
Filename :
5661749
Link To Document :
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