Zobrazeno 1 - 10
of 10 348
pro vyhledávání: '"local binary patterns"'
Publikováno v:
Jurnal Informatika, Vol 12, Iss 1, Pp 101-109 (2024)
The age factor had a significant impact on human faces, potentially influencing the performance of existing gender classification systems. This research proposed a new method that combined local descriptors such as Local Binary Patterns (LBP) and Loc
Externí odkaz:
https://doaj.org/article/2edbb482b46a4b0f87b76880f79db541
Autor:
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, Jana Shafi, Jaeyoung Choi, Muhammad Fazal Ijaz
Publikováno v:
Egyptian Informatics Journal, Vol 27, Iss , Pp 100530- (2024)
The precise classification of medical images is crucial in various healthcare applications, especially in fields like disease diagnosis and treatment planning. In recent times, machine-intelligent models are desired to work in remote settings. Howeve
Externí odkaz:
https://doaj.org/article/83644f9a3aea429891adc473a609c9f3
Publikováno v:
IET Image Processing, Vol 18, Iss 4, Pp 856-874 (2024)
Abstract The human brain, the primary constituent of the nervous system, exhibits distinctive complexities that present considerable difficulties for healthcare practitioners, specifically in categorizing brain tumours. Magnetic resonance imaging is
Externí odkaz:
https://doaj.org/article/2013a69df1e34ce7ad066637349f365a
Publikováno v:
IEEE Access, Vol 12, Pp 108248-108262 (2024)
Lung diseases pose significant challenges to public health worldwide, requiring accurate and efficient diagnostic methods for timely intervention. This research introduces a novel approach that uses deep learning algorithms on chest X-ray images gene
Externí odkaz:
https://doaj.org/article/db414e9fa2ad48489cdf56ace01bcd16
Publikováno v:
IEEE Access, Vol 12, Pp 107247-107260 (2024)
This study proposes a new method for bearing Fault Detection and Diagnosis (FDD) in Belt Starter Generators (BSGs) using vibration signals. The Adapted Local Binary Pattern (ALBP) method is introduced, and its performance is compared to the conventio
Externí odkaz:
https://doaj.org/article/77e3da354f004b919bad1e2a7a7d4996
Publikováno v:
Sensors, Vol 24, Iss 16, p 5227 (2024)
Despite the significant advancements facilitated by previous research in introducing a plethora of retinal biomarkers, there is a lack of research addressing the clinical need for quantifying different biomarkers and prioritizing their importance for
Externí odkaz:
https://doaj.org/article/a3617bdc3a464a87932bf02f7c8e901d
Publikováno v:
IEEE Access, Vol 11, Pp 126791-126802 (2023)
In the present world, innovation, and creative thinking were pivotal in bringing about the digital revolution. As a result of consistent development in multimedia processing algorithms, altering the contents of digital images has become more accessib
Externí odkaz:
https://doaj.org/article/e42834b0fa2c4552bec27b3cf6e27e13
Publikováno v:
Sistemnyj Analiz i Prikladnaâ Informatika, Vol 0, Iss 3, Pp 22-27 (2022)
This article describes the software implementation of the system for extracting and evaluating information features from 2D images of bone fractures and bone objects for classifying fractures and identifying the alleged instrument that caused the inj
Externí odkaz:
https://doaj.org/article/cebdaa4c41e949ed8d329b77443bb0fe
Robust hybrid technique for moving object detection and tracking using cartoon features and fast PCP
Autor:
S.H. Jeevith, S. Lakshmikanth
Publikováno v:
Компьютерная оптика, Vol 46, Iss 5, Pp 783-789 (2022)
In various computer vision applications, the moving object detection is an essential step. Principal Component Analysis (PCA) techniques are often used for this purpose. However, the performance of this method is degraded by camera shake, hidden movi
Externí odkaz:
https://doaj.org/article/57cb19355dea445c87b25b9f7edda319
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