Zobrazeno 1 - 10
of 1 109
pro vyhledávání: '"bag of visual words"'
Autor:
M. Swathi, Rajeshkannan Regunathan
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 359-370 (2024)
Bacterial pharyngitis and tonsillitis can lead to severe complications if untreated, while oral cancer poses risks of spreading if not detected early. Classifying pharyngitis, oral cancer, and tonsillitis is essential for timely and accurate medical
Externí odkaz:
https://doaj.org/article/4bfafcd00b8a416f8c60ab801ae59e8b
Autor:
Juyeon Lee, Kanghyeok Choi
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5839 (2024)
With the increasing use of unmanned aerial vehicles (UAVs) in various fields, achieving the precise localization of UAV images is crucial for enhancing their utility. Photogrammetry-based techniques, particularly bundle adjustment, serve as foundatio
Externí odkaz:
https://doaj.org/article/778e18ea35884cc7a4ef176fb6517766
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9028-9038 (2022)
In bag-of-visual words (BoVW), a weighting scheme is applied to improve the discriminative power of visual words, which affect the performance of image classification. However, the weighting schemes in the BoVW model did not utilize the information c
Externí odkaz:
https://doaj.org/article/9da12449f55f4d92b3038a5aa0a34f13
Publikováno v:
Current Directions in Biomedical Engineering, Vol 8, Iss 1, Pp 117-120 (2022)
Navigation systems play an increasingly important role in minimally invasive surgery (MIS) by mitigating the problems rising from the decoupling of hand-eye movement of the surgeon. Many of these systems suffer from a high dependency on external opti
Externí odkaz:
https://doaj.org/article/7c0fa7988edc499383e537efed5dbb0c
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 2, Pp 58-71 (2022)
Content-Based Image Retrieval (CBIR) systems have recently emerged as one of the most promising and best image retrieval paradigms. To pacify the semantic gap associated with CBIR systems, the Bag of Visual Words (BoVW) techniques are now increasingl
Externí odkaz:
https://doaj.org/article/577447cbd35748579667e67a2851fd74
Autor:
Reza Mohammadi Asiyabi, Mihai Datcu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 2607-2620 (2022)
Recent advances in remote sensing technology have provided (very) high spatial resolution Earth Observation data with abundant latent semantic information. Conventional data processing algorithms are not capable of extracting the latent semantic info
Externí odkaz:
https://doaj.org/article/e36f5894fb64414da6aa7f74820ca025
Akademický článek
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Akademický článek
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Publikováno v:
Sensors, Vol 23, Iss 21, p 8836 (2023)
Scene classification in autonomous navigation is a highly complex task due to variations, such as light conditions and dynamic objects, in the inspected scenes; it is also a challenge for small-factor computers to run modern and highly demanding algo
Externí odkaz:
https://doaj.org/article/8a31666dd2fc4f46906ed44f55163ac4
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2227 (2023)
For the inconsistent lodging of wheat with dense growth and overlapped organs, it is difficult to detect lodging direction accurately and quickly using vehicle vision for harvesters. Therefore, in this paper, the k-means algorithm is improved by desi
Externí odkaz:
https://doaj.org/article/6a614ba55c384f16938593ca58bfb753