Results 21 to 30 of about 167,870,404 (256)

Visual support system for remote control by adaptive ROI selection of monitoring robot

ROBOMECH Journal, 2018
A visual assistance system has become attractive as a technique to improve the efficiency and stability of remote control. While an operator controls a working robot, another autonomous monitoring robot evaluates a suitable viewpoint to observe the work ...
Shota Samejima, Khusniddin Fozilov, Kosuke Sekiyama   +2 more
doaj   +1 more source

Impact of automatic region-of-interest coding\ud on perceived quality in mobile video [PDF]

, 2017
At present, the most reliable method to obtain end-user perceived quality is through subjective tests. In this paper, the impact of automatic region-of-interest (ROI) coding on perceived quality of mobile video is investigated.
Himawan, Ivan, Tjondronegoro, Dian, Song, Wei   +2 more
core   +1 more source

Pencocokan Citra Sidik Jari Menggunakan Korelasi Silang Ternormalisasi

Jurnal Rekayasa Elektrika, 2015
Fingerprint image matching is an important procedure in fingerprint recognition. Robust fingerprint image matching under a variety of different image capture conditions is difficult to achieve, because of changes in finger pressure, variation of the ...
Bulkis Kanata
doaj   +1 more source

Group level region of interest (ROI) results.

, 2013
Group level region of interest (ROI) results.
Kim N. H. Dillen (385105), M. Tynan R Stevens (385108), Ryan C.N. D’Arcy (385111), Steven A. Patterson (385106), Steven D. Beyea (385107), Erin L. Mazerolle (385103), Matthias H. Schmidt (385110), Kirk W. Feindel (378512), Aaron J. Newman (385109), Jodie R. Gawryluk (385104)   +9 more
core   +1 more source

Improving Normal/Abnormal and Benign/Malignant Classifications in Mammography with ROI-Stratified Deep Learning

Bioengineering
Deep Learning (DL) has undergone widespread adoption for medical image analysis and diagnosis. Numerous studies have explored mammographic image analysis for breast cancer screening. For this study, we assessed the hypothesis that stratifying mammography
Kenji Yoshitsugu, Kazumasa Kishimoto, Tadamasa Takemura   +2 more
doaj   +1 more source

A Deep Learning Approach for Arabic Manuscripts Classification

Sensors, 2023
For centuries, libraries worldwide have preserved ancient manuscripts due to their immense historical and cultural value. However, over time, both natural and human-made factors have led to the degradation of many ancient Arabic manuscripts, causing the ...
Lutfieh S. Al-homed, Kamal M. Jambi, Hassanin M. Al-Barhamtoshy   +2 more
doaj   +1 more source

SIREUBOH: KLASIFIKASI DATA LOKASI BARANG MENGGUNAKAN REGION OF INTEREST (ROI) DAN ALGORITMA RANSAC

Jurnal Tekno Insentif, 2019
Warehouse Management System (WMS) di perusahaan yang bergerak pada bidang logistik, pada bagian operation system management masih kesulitan dalam proses penempatan barang.
Syafrial Fachri Pane, Rolly Maulana Awangga, Maulyanda .   +2 more
doaj   +3 more sources

Automatic and Adaptive Signal- and Background-ROIs With Analytic-Representation-Based Processing for Robust Webcam-Based Heart-Rate Estimation

IEEE Access, 2020
Determining a suitable, adaptive region of interest (ROI) automatically for extracting information related to cardiac activity (signal-ROI/S-ROI), and another containing information on ambient light-fluctuation (background-ROI/B-ROI, as close as possible
James John, Syam Krishna, Ramesh R. Galigekere   +2 more
doaj   +1 more source

Determination of 3D-region of interest using digital in-line holography with astigmatic Gaussian beams [PDF]

Journal of the European Optical Society-Rapid Publications, 2009
An experimental method to visualize a 3D-region of interest (ROI) by means of an astigmatic Gaussian beam is proposed. This method allows to reduce the amount of image planes to be reconstructed thus saving computational time.
Verrier N., Coëtmellec S., Brunel M., Lebrun D.   +3 more
doaj   +1 more source

A Hybrid Intelligence Approach for Circulating Tumor Cell Enumeration in Digital Pathology by Using CNN and Weak Annotations

IEEE Access, 2023
Counting the number of Circulating Tumor Cells (CTCs) for cancer screenings is currently done by cytopathologists with a heavy time and energy cost. AI, especially deep learning, has shown great potential in medical imaging domains. The aim of this paper
Leihui Tong, Yuan Wan
doaj   +1 more source