Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions
In this article, an intelligent system utilizing type-3 fuzzy logic for automated image quality tuning in televisions is presented. The tuning problem can be formulated as controlling the television imaging system to achieve the requirements of production quality. Previously, the tuning process has...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Axioms |
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| Online Access: | https://www.mdpi.com/2075-1680/11/6/276 |
| _version_ | 1797490015822938112 |
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| author | Oscar Castillo Juan R. Castro Patricia Melin |
| author_facet | Oscar Castillo Juan R. Castro Patricia Melin |
| author_sort | Oscar Castillo |
| collection | DOAJ |
| description | In this article, an intelligent system utilizing type-3 fuzzy logic for automated image quality tuning in televisions is presented. The tuning problem can be formulated as controlling the television imaging system to achieve the requirements of production quality. Previously, the tuning process has been carried out by experts, by manually adjusting the television imaging system on production lines to meet the quality control standards. In this approach, interval type-3 fuzzy logic is utilized with the goal of automating the tuning of televisions manufactured on production lines. An interval type-3 fuzzy approach for image tuning is proposed, so that the best image quality is obtained and, in this way, meet quality requirements. A system based on type-3 fuzzy control is implemented with good simulation results. The validation of the type-3 fuzzy approach is made by comparing the results with human experts on the process of electrical tuning of televisions. The key contribution is the utilization of type-3 fuzzy in the image tuning application, which has not been reported previously in the literature. |
| first_indexed | 2024-03-10T00:24:58Z |
| format | Article |
| id | doaj.art-a476122d2b904f53b3744f3cc386d998 |
| institution | Directory Open Access Journal |
| issn | 2075-1680 |
| language | English |
| last_indexed | 2024-03-10T00:24:58Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Axioms |
| spelling | doaj.art-a476122d2b904f53b3744f3cc386d9982023-11-23T15:35:21ZengMDPI AGAxioms2075-16802022-06-0111627610.3390/axioms11060276Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in TelevisionsOscar Castillo0Juan R. Castro1Patricia Melin2Division of Graduate Studies, Tijuana Institute of Technology, Tijuana 22414, MexicoSchool of Engineering, UABC University, Tijuana 22500, MexicoDivision of Graduate Studies, Tijuana Institute of Technology, Tijuana 22414, MexicoIn this article, an intelligent system utilizing type-3 fuzzy logic for automated image quality tuning in televisions is presented. The tuning problem can be formulated as controlling the television imaging system to achieve the requirements of production quality. Previously, the tuning process has been carried out by experts, by manually adjusting the television imaging system on production lines to meet the quality control standards. In this approach, interval type-3 fuzzy logic is utilized with the goal of automating the tuning of televisions manufactured on production lines. An interval type-3 fuzzy approach for image tuning is proposed, so that the best image quality is obtained and, in this way, meet quality requirements. A system based on type-3 fuzzy control is implemented with good simulation results. The validation of the type-3 fuzzy approach is made by comparing the results with human experts on the process of electrical tuning of televisions. The key contribution is the utilization of type-3 fuzzy in the image tuning application, which has not been reported previously in the literature.https://www.mdpi.com/2075-1680/11/6/276interval type-3 fuzzy theoryfuzzy controlmanufacturing |
| spellingShingle | Oscar Castillo Juan R. Castro Patricia Melin Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions Axioms interval type-3 fuzzy theory fuzzy control manufacturing |
| title | Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions |
| title_full | Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions |
| title_fullStr | Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions |
| title_full_unstemmed | Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions |
| title_short | Interval Type-3 Fuzzy Control for Automated Tuning of Image Quality in Televisions |
| title_sort | interval type 3 fuzzy control for automated tuning of image quality in televisions |
| topic | interval type-3 fuzzy theory fuzzy control manufacturing |
| url | https://www.mdpi.com/2075-1680/11/6/276 |
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