Results 41 to 50 of about 13,361 (217)

An efficient local stereo matching method based on an adaptive exponentially weighted moving average filter in SLIC space

IET Image Processing, 2021
Funding information National Basic Research Program of China, Grant/Award Number: 2015CB352001; Shanghai Leading Academic Discipline Project, Grant/Award Number: S30502 Abstract Rapidly obtaining accurate dense disparity maps has been the focus of stereo
Shanshan Yang, Xinyu Lei, Zhenfeng Liu, Guo-Rong Sui   +3 more
semanticscholar   +1 more source

Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering

IEEE transactions on circuits and systems for video technology (Print), 2020
Most superpixel methods are sensitive to noise and cannot control the superpixel number precisely. To solve these problems, in this article, we propose a robust superpixel method called fuzzy simple linear iterative clustering (Fuzzy SLIC), which adopts ...
Chong Wu, Jiang-Bin Zheng, Zhenan Feng, Hou-Wang Zhang, Le Zhang, Jiawang Cao, Hong Yan   +6 more
semanticscholar   +1 more source

Knowledge Integration in Steel Microstructure Analysis Using Unsupervised Image Segmentation and Supervised Machine Learning Techniques

Applied Sciences
This study presents a methodology for analyzing bainitic microstructures in steel using image segmentation techniques and machine learning methods. Images of steel microstructures were processed using a superpixel segmentation algorithm, which generated ...
Tomasz Jażdżewski, Filip Hallo, Grzegorz Korpała, Krzysztof Regulski   +3 more
doaj   +1 more source

Comparative Studies of Region-Based Segmentation Algorithms on Natural and Remote Sensing Images [PDF]

ITM Web of Conferences
Region-based segmentation algorithms are used as a preprocessing approach to generate over-segmented regions. Over-segmented regions refer to the creation of small regions in an image that represent no meaningful object regions. It has been observed that
Shoaib Asim, Vadiveloo Mogana, Lim Seng Poh   +2 more
doaj   +1 more source

SLIC‐SABRE at Microtesla Fields Enables High Levels of Nuclear Spin Polarization Without Magnetic Shielding

Chemistry–Methods
Employing nuclear spin hyperpolarization to enhance NMR sensitivity opens new horizons for metabolic studies and chemical reaction monitoring. Among the hyperpolarization techniques, Signal Amplification by Reversible Exchange (SABRE) is prominent for ...
Vitaly P. Kozinenko, A. Kiryutin, A. Yurkovskaya   +2 more
semanticscholar   +1 more source

gSLICr: SLIC superpixels at over 250Hz

CoRR, 2015
We introduce a parallel GPU implementation of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Using a single graphic card, our implementation achieves speedups of up to $83\times$ from the standard sequential implementation. Our implementation is fully compatible with the standard sequential implementation and the software is now
Carl Yuheng Ren, Victor Adrian Prisacariu, Ian D. Reid 0001   +2 more
openaire   +3 more sources

SliC is a surface-displayed lipoprotein that is required for the anti-lysozyme strategy during Neisseria gonorrhoeae infection.

PLoS Pathogens, 2018
Lysozymes are nearly omnipresent as the first line of immune defense against microbes in animals. They exert bactericidal action through antimicrobial peptide activity and peptidoglycan hydrolysis.
Ryszard A Zielke, Adriana Le Van, Benjamin I Baarda, Marco F Herrera, Christopher J Acosta, Ann E Jerse, Aleksandra E Sikora   +6 more
doaj   +1 more source

Seamless Insert-Plasmid Assembly at High Efficiency and Low Cost. [PDF]

PLoS ONE, 2016
Seamless cloning methods, such as co-transformation cloning, sequence- and ligation-independent cloning (SLIC) or the Gibson assembly, are essential tools for the precise construction of plasmids.
Roger M Benoit, Christian Ostermeier, Martin Geiser, Julia Su Zhou Li, Hans Widmer, Manfred Auer   +5 more
doaj   +1 more source

Underground Defects Detection Based on GPR by Fusing Simple Linear Iterative Clustering Phash (SLIC-Phash) and Convolutional Block Attention Module (CBAM)-YOLOv8

IEEE Access
Ground Penetrating Radar (GPR) is an effective non-destructive detection method, that is frequently utilized in the detection of urban underground defects because of its quick speed, convenient and flexible operation, and high resolution.
Nian-Nian Wang, Zexi Zhang, Hao-Bang Hu, Bin Li, Jianwei Lei   +4 more
semanticscholar   +1 more source

An Industrial Micro-Defect Diagnosis System via Intelligent Segmentation Region

Sensors, 2019
In the field of machine vision defect detection for a micro workpiece, it is very important to make the neural network realize the integrity of the mask in analyte segmentation regions. In the process of the recognition of small workpieces, fatal defects
Xia Fang, Wang Jie, Tao Feng
doaj   +1 more source