Results 71 to 80 of about 77,261 (244)

Research on the tea bud recognition based on improved k-means algorithm

MATEC Web of Conferences, 2018
The identification and extraction of tea buds is the key technology for the development of automated tea picking robots. Machine vision technology is an effective tool for tea bud recognition.
Shao Peidi, Wu Minghui, Wang Xianwei, Zhou Jun, Liu Sheng   +4 more
doaj   +1 more source

3D‐Printed Titanium Implants with Bioactive Peptide‐Polysaccharide Scaffolds for Personalized Bone Reconstruction

Advanced Healthcare Materials, EarlyView.
Porous 3D‐printed titanium implants are made bioactive by integration with a supramolecular peptide‐hyaluronic acid nanofibrillar scaffold, without the addition of exogenous cells or growth factors. Uniform filling of the implant architecture promotes vascularized, spatially homogeneous bone regeneration, significantly enhancing osteogenesis throughout
Noam Rattner, Vladimir Perlis, Eran Golden, Ariel Pokhojaev, Rachel Sarig, Itzhak Binderman, Michal Halperin‐Sternfeld, Solomon Dadia, Lihi Adler‐Abramovich   +8 more
wiley   +1 more source

CURE-OR: Challenging Unreal and Real Environments for Object Recognition

, 2018
In this paper, we introduce a large-scale, controlled, and multi-platform object recognition dataset denoted as Challenging Unreal and Real Environments for Object Recognition (CURE-OR).
AlRegib, Ghassan, Lee, Jinsol, Temel, Dogancan   +2 more
core   +1 more source

Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture

Advanced Healthcare Materials, EarlyView.
This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus, Md Osman Goni Nayeem, Aastha Shah, Jason Hou, Shrihari Viswanath, Maya Eusebio, David Sadat, Anantha P. Chandrakasan, Tolga Ozmen, Canan Dagdeviren   +9 more
wiley   +1 more source

No-Reference Blurred Image Quality Assessment by Structural Similarity Index

Applied Sciences, 2018
No-reference (NR) image quality assessment (IQA) objectively measures the image quality consistently with subjective evaluations by using only the distorted image.
Haopeng Zhang, Bo Yuan, Bo Dong, Zhiguo Jiang   +3 more
doaj   +1 more source

Compressive ghost imaging

, 2009
We describe an advanced image reconstruction algorithm for pseudothermal ghost imaging, reducing the number of measurements required for image recovery by an order of magnitude.
Bromberg, Yaron, Katz, Ori, Silberberg, Yaron   +2 more
core   +1 more source

Wound Geometry Determines Whether Aligned‐Fiber Scaffolds Accelerate or Impede Diabetic Wound Healing: A Biased Random Walk Analysis

Advanced Healthcare Materials, EarlyView.
Wound closure is governed by geometry‐orientation coupling: aligned fibers speed migration along their axis but hinder perpendicular advance. In vivo diabetic wound experiments with composition‐matched fibrin, combined with an anisotropic diffusion (biased random‐walk) model, quantify this trade‐off and generate a healing landscape.
Yin‐Yuan Huang, Xiangjun Peng, Yuxuan Huang, Kunkoo Kim, Chengli Li, Peilun Hu, Sean J. Wang, Rohan Avula, Chun‐Yi Yang, Pengchao Ma, Shuhui Yang, Shumeng Jiang, Guy M. Genin, Xiumei Wang   +13 more
wiley   +1 more source

Local Indicators of Spatial Autocorrelation (LISA): Application to Blind Noise-Based Perceptual Quality Metric Index for Magnetic Resonance Images

Journal of Imaging, 2019
Noise-based quality evaluation of MRI images is highly desired in noise-dominant environments. Current noise-based MRI quality evaluation methods have drawbacks which limit their effective performance.
Michael Osadebey, Marius Pedersen, Douglas Arnold, Katrina Wendel-Mitoraj   +3 more
doaj   +1 more source

Development of method of matched morphological filtering of biomedical signals and images [PDF]

, 2019
Formalized approach to the analysis of biomedical signals and images with locally concentrated features is developed on the basis of matched morphological filtering taking into account the useful signal models that allowed generalizing the existing ...
Filatova, A. E., Povoroznyuk, A. I., Shehna, Kh., Zakovorotniy, A. Yu.   +3 more
core  

VLA-ANGST: A high-resolution HI Survey of Nearby Dwarf Galaxies

, 2012
We present the "Very Large Array survey of Advanced Camera for Surveys Nearby Galaxy Survey Treasury galaxies (VLA-ANGST)." VLA-ANGST is a National Radio Astronomy Observatory Large Program consisting of high spectral (0.6-2.6 km/s) and spatial (~6 ...
Adrienne M. Stilp, Allen, Andrew A. West, Baars, Barnes, Bigiel, Braun, Briggs, Bärbel Koribalski, Cannon, Cannon, Cannon, Clark, Dalcanton, Dale, de Vaucouleurs, Dohm-Palmer, Evan D. Skillman, Fabian Walter, Helfer, Huchtmeier, Hunter, Julianne J. Dalcanton, Jürgen Ott, Karachentsev, Koribalski, Lee, Lee, Leroy, Leroy, McQuinn, Rahman, Rohlfs, Skillman, Springob, Steven R. Warren, van der Hulst, W. J. G. de Blok, Walter, Warren, Warren, Weisz, Weisz, Williams   +43 more
core   +1 more source