Fuzzy methaheuristic model for copy-move forgery detection on images
Само за регистроване кориснике
2023
Чланак у часопису (Објављена верзија)
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Many methods have been proposed to detect the originality of an image. One of the most commonly used method, the Copy - move forgery detection (CMFD), is considered here. The contribution of this paper is the application of the new fuzzy distances in clustering using metaheuristics. The family of the used fuzzy distances satisfies the axioms of the fuzzy metric. CMFD method, which includes Variable Neighborhood Search (VNS) and Bee Colony Optimization (BCO) metaheuristics, has been tested and compared with similar methods. The proposed method with the proposed new metric used in this research gave better results than the existing methods. The proposed fuzzy metrics in this paper as well as the problem of $$p-$$median clustering applied to the problem and compared with existing research in this field give better results.
Кључне речи:
Clustering / Forensic images / Methaheuristic / MetricsИзвор:
Multimedia Tools and Applications, 2023Финансирање / пројекти:
- Карактеризација кинетике и утицаја високо хазардних (емергинг) полутаната отпадних токова графичке индустрије (RS-MESTD-Technological Development (TD or TR)-34014)
- Математички модели нелинеарности, неодређености и одлучивања (RS-MESTD-Basic Research (BR or ON)-174009)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200156 (Универзитет у Новом Саду, Факултет техничких наука) (RS-MESTD-inst-2020-200156)
- Развој нових информационо-комуникационих технологија, коришћењем напредних математичких метода, са применама у медицини, телекомуникацијама, енергетици, заштитити националне баштине и образовању (RS-MESTD-Integrated and Interdisciplinary Research (IIR or III)-44006)
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200116 (Универзитет у Београду, Пољопривредни факултет) (RS-MESTD-inst-2020-200116)
Институција/група
Poljoprivredni fakultetTY - JOUR AU - Milosavljević, Nataša S. AU - Ralević, Nebojša M. PY - 2023 UR - https://doi.org/10.1007/s11042-023-17053-7 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/6478 AB - Many methods have been proposed to detect the originality of an image. One of the most commonly used method, the Copy - move forgery detection (CMFD), is considered here. The contribution of this paper is the application of the new fuzzy distances in clustering using metaheuristics. The family of the used fuzzy distances satisfies the axioms of the fuzzy metric. CMFD method, which includes Variable Neighborhood Search (VNS) and Bee Colony Optimization (BCO) metaheuristics, has been tested and compared with similar methods. The proposed method with the proposed new metric used in this research gave better results than the existing methods. The proposed fuzzy metrics in this paper as well as the problem of $$p-$$median clustering applied to the problem and compared with existing research in this field give better results. T2 - Multimedia Tools and Applications T2 - Multimedia Tools and ApplicationsMultimed Tools Appl T1 - Fuzzy methaheuristic model for copy-move forgery detection on images DO - 10.1007/s11042-023-17053-7 ER -
@article{ author = "Milosavljević, Nataša S. and Ralević, Nebojša M.", year = "2023", abstract = "Many methods have been proposed to detect the originality of an image. One of the most commonly used method, the Copy - move forgery detection (CMFD), is considered here. The contribution of this paper is the application of the new fuzzy distances in clustering using metaheuristics. The family of the used fuzzy distances satisfies the axioms of the fuzzy metric. CMFD method, which includes Variable Neighborhood Search (VNS) and Bee Colony Optimization (BCO) metaheuristics, has been tested and compared with similar methods. The proposed method with the proposed new metric used in this research gave better results than the existing methods. The proposed fuzzy metrics in this paper as well as the problem of $$p-$$median clustering applied to the problem and compared with existing research in this field give better results.", journal = "Multimedia Tools and Applications, Multimedia Tools and ApplicationsMultimed Tools Appl", title = "Fuzzy methaheuristic model for copy-move forgery detection on images", doi = "10.1007/s11042-023-17053-7" }
Milosavljević, N. S.,& Ralević, N. M.. (2023). Fuzzy methaheuristic model for copy-move forgery detection on images. in Multimedia Tools and Applications. https://doi.org/10.1007/s11042-023-17053-7
Milosavljević NS, Ralević NM. Fuzzy methaheuristic model for copy-move forgery detection on images. in Multimedia Tools and Applications. 2023;. doi:10.1007/s11042-023-17053-7 .
Milosavljević, Nataša S., Ralević, Nebojša M., "Fuzzy methaheuristic model for copy-move forgery detection on images" in Multimedia Tools and Applications (2023), https://doi.org/10.1007/s11042-023-17053-7 . .