title: |
Generation of fuzzy edge images using trapezoidal membership functions |
|
publication: |
||
part of series: |
Advances in Intelligent Systems Research | |
| pages: | 327 - 333 | |
DOI: |
To be assigned soon (how to use a DOI) | |
author(s): |
C. Lopez-Molina, H. Bustince, J. Fernandez, B. De |
|
publication date: |
July 2011 |
|
keywords: |
Image processing, Edge detection,
Fuzzy edges, Membership functions |
|
abstract: |
The fuzzy representation of the edges has been
widely studied in different works. Generally, for
each pixel, the authors use membership degrees linearly proportional to the magnitude of the gradient
at that position of the image. This would be equivalent to using a triangular membership functions on
the gradient magnitude. In this work we study the
use of parametric functions in the transformation
of the gradient images into fuzzy sets. The results
obtained with different parametrical functions are
studied using Baddeley's Delta Metric. |
|
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. |
|
full text: |