- Tytuł:
- Novel visual object descriptor using surf and clustering algorithms
- Autorzy:
- Grycuk, R.
- Powiązania:
- https://bibliotekanauki.pl/articles/122762.pdf
- Data publikacji:
- 2016
- Wydawca:
- Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
- Tematy:
-
k-means
mean shift
clustering
image description
SURF
keypoints
content-based image retrieval (CBIR)
opis obrazu
algorytmy grupowania
detekcja punktów kluczowych - Opis:
- In this paper we propose a method for object description based on two wellknown clustering algorithms (k-means and mean shift) and the SURF method for keypoints detection. We also perform a comparison of these clustering methods in object description area. Both of these algorithms require one input parameter; k-means (k, number of objects) and mean shift (h, window). Our approach is suitable for images with a non-homogeneous background thus, the algorithm can be used not only on trivial images. In the future we will try to remove non-important keypoints detected by the SURF algorithm. Our method is a part of a larger CBIR system and it is used as a preprocessing stage.
- Źródło:
-
Journal of Applied Mathematics and Computational Mechanics; 2016, 15, 3; 37-46
2299-9965 - Pojawia się w:
- Journal of Applied Mathematics and Computational Mechanics
- Dostawca treści:
- Biblioteka Nauki
Artykuł