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Sensitivity analysis for image represented by fuzzy function

delete2018-07-20
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PRE
AI
P
Petr Hurtík *
N
Nicolás Madrid
M
Martin Dyba
DOI:10.1007/s00500-018-3402-8delete
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Abstract

Abstract

En 中文
The standard image representation can be considered as obsolete in image processing area since it was designed mainly to visualize images and not to support image processing algorithms. For that reason, seeking alternative image representations becomes an important issue. This paper focuses on images represented by means of fuzzy functions (so-called fuzzy images) and investigates its sensibility under arbitrary distortions. Then, it shows that this fuzzy representation is less sensitive to distortions than the raster image representation. Finally, it also shows the impact on a practical image processing task, where the fuzzy representation has achieved significantly better results.
Keywords:
Fuzzy image
IRFF
Image distortion
Image comparison
Pattern matching
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Journal

Soft Computing cover
Soft Computing
IF:
2.5
Papers:
1.0W
Citations:
2.1W

Organization

U
universidad de malaga
Scholars:
1.2W
Papers: 9.2K
Citations: 6
U
University of Ostrava
Scholars:
1.8K
Papers: 1.4K
Citations: 1.1K
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