Home »
Academic Articles & Research Papers
Showing 20 of 611 academic articles
SHA Yuyang, LU Jingtao, DU Haofan, ZHAI Xiaobing, MENG Weiyu, LIAN Xu, LUO Gang, LI Kefeng • Jisuanji gongcheng
(2025)
Image segmentation is a crucial technology for environmental perception, and it is widely used in various scenarios such as autonomous driving and virtual reality. With the rapid development of technology, computer vision-based blind guidin...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0068674
Bogusław Cyganek, Jan Paul Siebert • Wiley eBooks
(2009)
present basic low-level image processing operations for image matching, including a separate chapter on image matching algorithms; \n explain scale-space vision, as well as space reconstruction and multiview integration; \n demonstrate a va...
OPENALEX
DOI: https://doi.org/10.1002/9780470699720
Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing
(2023)
Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12880
J. R. Parker (1996)
A cookbook of algorithms for common image processing applications Thanks to advances in computer hardware and software, algorithms have been developed that support sophisticated image processing without requiring an extensive background in ...
OPENALEX
A Gruen and T S Huang • Measurement Science and Technology
(2002)
One of my greatest hates is the edited book with chapters from a number of different authors, some of which have evidently been written in haste against the final deadline, and most of which show marked divergence of content, opinion, notat...
OPENALEX
DOI: https://doi.org/10.1088/0957-0233/13/2/707
Ola Basheer, Zohair Al-Ameen • Sistemasi: Jurnal Sistem Informasi
(2024)
With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past d...
DOAJ
Open Access (DOAJ)
DOI: 10.32520/stmsi.v13i3.3938
Miriana Russo, Corrado Santoro, Federico Fausto Santoro, Alessio Tudisco • Actuators
(2026)
Viticulture is facing growing economic and environmental pressures that demand a transition toward intelligent and autonomous crop management systems. Phytopathologies remain one of the most critical threats, causing substantial yield losse...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/act15020091
Minh-Phuong Tran • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2019)
The paper is devoted to the new model for image decomposition, that splits an image $f$ into three components $u+v+\omega$, with $u$ a piecewise-smooth or the ``cartoon'' component, $v$ a texture component and $\omega$ the noise part in var...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.1162
Dong Wang, Yaowen Kang, Yibin Chen, Yuefang Gao et al. • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Image inpainting is crucial for restoring missing or corrupted regions in images, with diverse applications in computer vision and digital content creation. Existing deep learning-based methods, however, often struggle with large o...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44443-026-00545-5
Scott E. Umbaugh • Prentice Hall PTR eBooks
(1997)
From the Publisher:
True computer imaging for engineers!
Digital signal processing has long been the domain of electrical engineers, while the manipulation of image data has been handled by computer scientists. The convergence of these...
OPENALEX
Giovana A. Benvenuto, Marilaine Colnago, Maurício A. Dias, Rogério G. Negri et al. • Bioengineering
(2022)
In ophthalmology, the registration problem consists of finding a geometric transformation that aligns a pair of images, supporting eye-care specialists who need to record and compare images of the same patient. Considering the registration ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bioengineering9080369
Vincenzo Carletti, Antonio Greco, Alessia Saggese, Bruno Vento • IEEE Access
(2026)
Automatic fire detection in video surveillance is a critical capability for safeguarding industrial sites, public infrastructures, and natural environments. Although recent advances in deep learning have substantially improved early fire de...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3664195
Timur Mamedov, Denis Kuplyakov, Anton Konushin • Sensors
(2023)
The idea of the person re-identification (Re-ID) task is to find the person depicted in the query image among other images obtained from different cameras. Algorithms solving this task have important practical applications, such as illegal ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23177382
Javier Pérez Soler, Jose-Luis Guardiola, Alberto Perez Jimenez, Pau Garrigues Carbó et al. • Mathematics
(2023)
3D Geometric quality inspection involves assessing and comparing a reconstructed object to a predefined reference model or design that defines its expected volume. Achieving precise 3D object geometry reconstruction from multiple views can ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math11214419
James R. Parker (1993)
From the Publisher:
A straightforward, practical examination of the fundamentals of computer vision using a minimum of mathematics. Concentrates on explanation, illustration, implementation and the various types of vision imaging problems ...
OPENALEX
Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano • Computational Urban Science
(2026)
Abstract Understanding how environmental conditions and policy interventions jointly shape pedestrian mobility is essential for designing resilient, adaptive, and human-centered urban spaces. This study presents a computer-vision framework ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43762-026-00284-3
Nino Cauli, Diego Reforgiato Recupero • Future Internet
(2022)
In most Computer Vision applications, Deep Learning models achieve state-of-the-art performances. One drawback of Deep Learning is the large amount of data needed to train the models. Unfortunately, in many applications, data are difficult ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/fi14030093
Otilia Zvorișteanu, Simona Caraiman, Vasile-Ion Manta • Mathematics
(2022)
Environment perception and understanding represent critical aspects in most computer vision systems and/or applications. State-of-the-art techniques to solve this vision task (e.g., semantic instance segmentation) require either dedicated h...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10142365
Nianyi Wang, Weilan Wang, Wenjin Hu • IEEE Access
(2021)
Thangka murals are precious cultural heritage for Tibetan history, literature, and art. Digital line drawing of Thangka murals plays a vital role not only as an abstracted expression of Thangka for art appreciation but also as a fundamental...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3068199
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021