- Tytuł:
- Determination of the Optimal Threshold Value and Number of Keypoints in Scale Invariant Feature Transform-based Copy-Move Forgery Detection
- Autorzy:
-
Isnanto, R. Rizal
Zahra, Ajub Ajulian
Santoso, Imam
Lubis, Muhammad Salman - Powiązania:
- https://bibliotekanauki.pl/articles/227299.pdf
- Data publikacji:
- 2020
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
forgery
Gaussian noise
feature extraction
pattern matching
Euclidean distance - Opis:
- The copy-move forgery detection (CMFD) begins with the preprocessing until the image is ready to process. Then, the image features are extracted using a feature-transform-based extraction called the scale-invariant feature transform (SIFT). The last step is features matching using Generalized 2 Nearest-Neighbor (G2NN) method with threshold values variation. The problem is what is the optimal threshold value and number of keypoints so that copy-move detection has the highest accuracy. The optimal threshold value and number of keypoints had determined so that the detection n has the highest accuracy. The research was carried out on images without noise and with Gaussian noise.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2020, 66, 3; 561-569
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł