title: |
Towards an objective edge detection algorithm |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
| pages: | 319 - 326 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
based on |
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publication date: |
July 2011 |
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keywords: |
Edge detection, discrete t-norm, mathematical morphology, thresholding method, thinning method. |
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abstract: |
In this paper a comparative analysis of different
techniques in order to transform a gray-scale edge
image to a thin binary edge image is performed.
Several thresholding methods and thinning methods
are compared. The comparison is made according to
some performance measures, such as Pratt's figure
of merit, Baddeley's measure and the -coefficient.
This study is an essential intermediate step to obtain an objective edge detection algorithm based on
discrete t-norms. This fuzzy morphological algorithm has already shown notable potential in relation with the results obtained from nilpotent tnorms, umbra approach and classical edge detectors. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |