An Interactive Algorithm for Image Smoothing and Segmentation
This work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automati...
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Format: | Article |
Language: | English |
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Computer Vision Center Press
2004-07-01
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Series: | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
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Online Access: | https://elcvia.cvc.uab.es/article/view/71 |
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author | Marcos Carneiro de Andrade |
author_facet | Marcos Carneiro de Andrade |
author_sort | Marcos Carneiro de Andrade |
collection | DOAJ |
description | This work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automatically detected, labeled and eventually merged. The user places one marker per region of interest. Accurate and fast segmentation results can be achieved for gray and color images using this simple method. |
first_indexed | 2024-12-16T13:03:11Z |
format | Article |
id | doaj.art-e83ab32aa4884a21a52673068439d372 |
institution | Directory Open Access Journal |
issn | 1577-5097 |
language | English |
last_indexed | 2024-12-16T13:03:11Z |
publishDate | 2004-07-01 |
publisher | Computer Vision Center Press |
record_format | Article |
series | ELCVIA Electronic Letters on Computer Vision and Image Analysis |
spelling | doaj.art-e83ab32aa4884a21a52673068439d3722022-12-21T22:30:47ZengComputer Vision Center PressELCVIA Electronic Letters on Computer Vision and Image Analysis1577-50972004-07-014110.5565/rev/elcvia.7143An Interactive Algorithm for Image Smoothing and SegmentationMarcos Carneiro de AndradeThis work introduces an interactive algorithm for image smoothing and segmentation. A non-linear partial differential equation is employed to smooth the image while preserving contours. The segmentation is a region-growing and merging process initiated around image minima (seeds), which are automatically detected, labeled and eventually merged. The user places one marker per region of interest. Accurate and fast segmentation results can be achieved for gray and color images using this simple method.https://elcvia.cvc.uab.es/article/view/71image segmentation and image extractionsmoothing |
spellingShingle | Marcos Carneiro de Andrade An Interactive Algorithm for Image Smoothing and Segmentation ELCVIA Electronic Letters on Computer Vision and Image Analysis image segmentation and image extraction smoothing |
title | An Interactive Algorithm for Image Smoothing and Segmentation |
title_full | An Interactive Algorithm for Image Smoothing and Segmentation |
title_fullStr | An Interactive Algorithm for Image Smoothing and Segmentation |
title_full_unstemmed | An Interactive Algorithm for Image Smoothing and Segmentation |
title_short | An Interactive Algorithm for Image Smoothing and Segmentation |
title_sort | interactive algorithm for image smoothing and segmentation |
topic | image segmentation and image extraction smoothing |
url | https://elcvia.cvc.uab.es/article/view/71 |
work_keys_str_mv | AT marcoscarneirodeandrade aninteractivealgorithmforimagesmoothingandsegmentation AT marcoscarneirodeandrade interactivealgorithmforimagesmoothingandsegmentation |