Results 101 to 110 of about 1,732,484 (345)

A real-time arbitrary-shape text detector.

PLoS ONE
It is challenging to detect arbitrary-shape text accurately and effectively in natural scenes. While many methods have been implemented for arbitrary-shape text detection, most cannot achieve real-time detection or meet practical needs.
Manhuai Lu, Langlang Li, Chin-Ling Chen
doaj   +1 more source

Potato Size and Shape Detection Using Machine Vision

MATEC Web of Conferences, 2015
To reduce the error and faster classification by mechanizing in classifying the potato shape and size through machine vision using the extraction of characters procedure to identify the size, and using the shape detection procedure to identify the shape.
Liao Guiping, Wang Xiaoqiao, Jin Jing, Li Jinwei   +3 more
doaj   +1 more source

Improved pulse shape discriminator for fast neutron-gamma ray detection system [PDF]

, 1969
Discriminator in nuclear particle detection system distinguishes nuclear particle type and energy among many different nuclear particles. Discriminator incorporates passive, linear circuit elements so that it will operate over a wide dynamic ...
Lockwood, J. A., St. Onge, R.
core   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Shape detection beyond the visual field using a visual-to-auditory sensory augmentation device. [PDF]

Front Hum Neurosci, 2023
Shvadron S, Snir A, Maimon A, Yizhar O, Harel S, Poradosu K, Amedi A.   +6 more
europepmc   +1 more source

STMG-PCNet: A Lightweight Shape-Texture Mutual-Guided Predictor-Corrector Network for Infrared Small Target Detection

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Infrared small target detection (IRSTD) is rapidly advancing in edge applications, such as miniature unmanned aerial vehicles and autonomous vehicles.
Zichen Zhao, Huanzhang Ling, Xiaxia Qin, Haodong Xiao, Jihao Wu, Chengwei Liu   +5 more
doaj   +1 more source

Object Detection at the Optimal Scale with Hidden State Shape Models [PDF]

, 2006
Hidden State Shape Models (HSSMs) [2], a variant of Hidden Markov Models (HMMs) [9], were proposed to detect shape classes of variable structure in cluttered images. In this paper, we formulate a probabilistic framework for HSSMs which provides two major
Athitsos, Vassilis, Betke, Margrit, Sclaroff, Stan, Wang, Jingbin   +3 more
core   +1 more source

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

Toward FBG-Sensorized Needle Shape Detection in Real Tissue Insertions. [PDF]

Annu Int Conf IEEE Eng Med Biol Soc, 2022
Kim MJ, Lezcano DA, Kim JS, Iordachita II.   +3 more
europepmc   +1 more source

A Shape-Aware Network for Arctic Lead Detection from Sentinel-1 SAR Images

Journal of Marine Science and Engineering
Accurate detection of sea ice leads is essential for safe navigation in polar regions. In this paper, a shape-aware (SA) network, SA-DeepLabv3+, is proposed for automatic lead detection from synthetic aperture radar (SAR) images.
Wei Song, Min Zhu, Mengying Ge, Bin Liu
doaj   +1 more source