Results 11 to 20 of about 7,242 (173)
Automated Cryo-EM and Supervised Machine Learning Enable Reproducible Characterization of Extracellular Vesicles and Co-Isolating Particles. [PDF]
J Extracell VesiclesAutomated cryo‐electron microscopy enables high‐throughput and unbiased image acquisition, which, combined with supervised machine learning allows modelling and detection of lipid membranes and other structures, like lipoproteins. This integration provides a powerful approach for analysis of EV size and morphology, as well as sample purity assessment ...
Enciso-Martinez A +7 more
europepmc +2 more sources
Insulator fault feature extraction system of substation equipment based on machine vision
IET Networks, EarlyView., 2022 Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source
IEEE Access, 2021 Brain tumors are a serious and death-defying disease for human life. Discovering an appropriate brain tumor image from a magnetic resonance imaging (MRI) archive is a challenging job for the radiologist.
K. Venkatachalam +4 more
doaj +1 more source
Track initiation based on adaptive gates and fuzzy Hough transform
Signal, Image and Video Processing, 2022 Abstract In order to select reliable tracks from the limited measurement cycles, the track initiation has been studied, which affects all subsequent stages of target tracking. Numerous false target tracks were produced by traditional logic algorithms, and the Hough transform method was sensitive to noise. Based on adaptive gates and fuzzy Hough
Liu Zeng +3 more
openaire +1 more source
Automatic Recognition of Density and Weave Pattern of Yarn-Dyed Fabric
AUTEX Research Journal, 2022 Under the production mode of small-batch and multi-item, the recognition of yarn-dyed fabric patterns is a crucial task in the textile industry. In this article, an automatic recognition system based on pixel-level features is proposed to recognize the ...
Xiang Jun, Pan Ruru
doaj +1 more source
Preprocessing of Breast Cancer Images to Create Datasets for Deep-CNN
IEEE Access, 2021 Breast cancer is the most diagnosed cancer in Australia with crude incidence rates increasing drastically from 62.8 at ages 35–39 to 271.4 at ages 50–54 (cases per 100,000 women). Various researchers have proposed methods and tools based on
Abhijith Reddy Beeravolu +5 more
doaj +1 more source
Using Fuzzy Mask R-CNN Model to Automatically Identify Tomato Ripeness
IEEE Access, 2020 Manual inspection and harvesting of ripening tomatoes is time consuming and labor intensive. Smart agriculture can emphasize the use of digital horticultural resources for farming and can increase farm sustainability; to that end, we proposed a fuzzy ...
Yo-Ping Huang +2 more
doaj +1 more source
Detection of Dashboard in Fuzzy Image by Correction Force Snake Model
Journal of Harbin University of Science and Technology, 2018 In order to solve the problem that the accuracy of the dashboard detection in fuzzy images is not high，an improved Snake model based on the correction force is proposed.
YU Shu-chun, DONG Jing-yi
doaj +1 more source
Robot navigation control based on monocular images: An image processing algorithm for obstacle avoidance decisions [PDF]
, 2012 This paper covers the use of monocular vision to control autonomous navigation for a robot in a dynamically changing environment. The solution focused on using colour segmentation against a selected floor plane to distinctly separate obstacles from ...
Benn, W, Lauria, S
core +3 more sources
Axioms, 2017 Hough transform (HT) is a useful tool for both pattern recognition and image processing communities. In the view of pattern recognition, it can extract unique features for description of various shapes, such as lines, circles, ellipses, and etc.
Ümit Budak +3 more
doaj +1 more source