A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection
This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality in...
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doaj-d9e398fbf86049f3afbc56adeb178e5b2021-04-14T23:01:38ZengMDPI AGSymmetry2073-89942021-04-011367867810.3390/sym13040678A Note on Advantages of the Fuzzy Gabor Filter in Object and Text DetectionVladimir Tadic0Tatjana Loncar-Turukalo1Akos Odry2Zeljen Trpovski3Attila Toth4Zoltan Vizvari5Peter Odry6Institute of Information Technology, University of Dunaujvaros, Tancsics Mihaly u. 1/A Pf.: 152, H-2401 Dunaujvaros, HungaryFaculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, SerbiaInstitute of Information Technology, University of Dunaujvaros, Tancsics Mihaly u. 1/A Pf.: 152, H-2401 Dunaujvaros, HungaryFaculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, SerbiaInstitute of Physiology, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, HungaryDepartment of Environmental Engineering, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany Str. 2, H-7624 Pecs, HungaryInstitute of Information Technology, University of Dunaujvaros, Tancsics Mihaly u. 1/A Pf.: 152, H-2401 Dunaujvaros, HungaryThis note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality input images as extensively evaluated in the problem of license plate localization. The extended set of examples confirmed that the fuzzy optimized Gabor filter with adequately fuzzified parameters detected the desired license plate texture components and highly improved the object detection when compared to the classic Gabor filter. The robustness of the proposed approach was further demonstrated on other images of various origin containing text and different textures, captured using low-cost or modest quality acquisition procedures. The possibility to fine tune the fuzzification procedure to better suit certain applications offers the potential to further boost detection performance.https://www.mdpi.com/2073-8994/13/4/678text detectionGabor filterfilteringfuzzy optimizationfuzzificationrobust license plate detection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vladimir Tadic Tatjana Loncar-Turukalo Akos Odry Zeljen Trpovski Attila Toth Zoltan Vizvari Peter Odry |
spellingShingle |
Vladimir Tadic Tatjana Loncar-Turukalo Akos Odry Zeljen Trpovski Attila Toth Zoltan Vizvari Peter Odry A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection Symmetry text detection Gabor filter filtering fuzzy optimization fuzzification robust license plate detection |
author_facet |
Vladimir Tadic Tatjana Loncar-Turukalo Akos Odry Zeljen Trpovski Attila Toth Zoltan Vizvari Peter Odry |
author_sort |
Vladimir Tadic |
title |
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection |
title_short |
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection |
title_full |
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection |
title_fullStr |
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection |
title_full_unstemmed |
A Note on Advantages of the Fuzzy Gabor Filter in Object and Text Detection |
title_sort |
note on advantages of the fuzzy gabor filter in object and text detection |
publisher |
MDPI AG |
series |
Symmetry |
issn |
2073-8994 |
publishDate |
2021-04-01 |
description |
This note presents a fuzzy optimization of Gabor filter-based object and text detection. The derivation of a 2D Gabor filter and the guidelines for the fuzzification of the filter parameters are described. The fuzzy Gabor filter proved to be a robust text an object detection method in low-quality input images as extensively evaluated in the problem of license plate localization. The extended set of examples confirmed that the fuzzy optimized Gabor filter with adequately fuzzified parameters detected the desired license plate texture components and highly improved the object detection when compared to the classic Gabor filter. The robustness of the proposed approach was further demonstrated on other images of various origin containing text and different textures, captured using low-cost or modest quality acquisition procedures. The possibility to fine tune the fuzzification procedure to better suit certain applications offers the potential to further boost detection performance. |
topic |
text detection Gabor filter filtering fuzzy optimization fuzzification robust license plate detection |
url |
https://www.mdpi.com/2073-8994/13/4/678 |
work_keys_str_mv |
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