Temat: image retrieval - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Detecting visual objects by edge crawling
Autorzy:: Grycuk, Rafał
Wojciechowski, Adam
Wei, Wei
Siwocha, Agnieszka
Powiązania:: https://bibliotekanauki.pl/articles/1837538.pdf
Data publikacji:: 2020
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:: content-based image retrieval
crawler
edge detection
image descriptor
object extraction
Opis:: Content-based image retrieval methods develop rapidly with a growing scale of image repositories. They are usually based on comparing and indexing some image features. We developed a new algorithm for finding objects in images by traversing their edges. Moreover, we describe the objects by histograms of local features and angles. We use such a description to retrieve similar images fast. We performed extensive experiments on three established image datasets proving the effectiveness of the proposed method.
Źródło:: Journal of Artificial Intelligence and Soft Computing Research; 2020, 10, 3; 223-237
2083-2567
2449-6499
Pojawia się w:: Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: New image descriptor from edge detector and blob extractor
Autorzy:: Grycuk, R.
Scherer, R.
Gabryel, M.
Powiązania:: https://bibliotekanauki.pl/articles/122401.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:: image description
content-based image retrieval (CBIR)
edge detection
blob extraction
blob detection
opis obrazu
wyszukiwanie na podstawie zawartości
CBIR
wykrywanie krawędzi
Opis:: In this paper we present a novel approach for image description. The method is based on two well-known algorithms: edge detection and blob extraction. In the edge detection step we use the Canny detector. Our method provides a mathematical description of each object in the input image. On the output of the presented algorithm we obtain a histogram, which can be used in various fields of computer vision. In this paper we applied it in the content-based image retrieval system. The simulations proved the effectiveness of our method.
Źródło:: Journal of Applied Mathematics and Computational Mechanics; 2015, 14, 4; 31-39
2299-9965
Pojawia się w:: Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:: Biblioteka Nauki

Artykuł

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