Measurement of Temperature Field in Laser Molten Pool by CCD Based on DSP

2008 ◽  
Vol 392-394 ◽  
pp. 693-696
Author(s):  
Z. Cao ◽  
Xi Chen Yang
Keyword(s):  
Image Processing ◽  
Temperature Field ◽  
Real Time ◽  
Measurement System ◽  
Molten Pool ◽  
Software Process ◽  
Real Time Processing ◽  
Time Processing ◽  
Gradient Image ◽  
Time Problem

In this paper, a measurement system of temperature field in laser molten pool by CCD based on DSP is presented. The paper also presents the system of hardware, software process, and the method of image processing by DSP. To solve the real time problem in the processing of measuring the temperature field, the system uses DSP as the main CPU, processing the image without a computer. By this method, the system can become simple and efficient and measure the laser molten pool temperature field quickly and exactly. Gradient image of temperature field is displayed on LCD after real time processing by this system. The final picture of temperature field can be directly analyzed.

scholarly journals A library for fMRI real-time processing systems in python (RTPSpy) with comprehensive online noise reduction, fast and accurate anatomical image processing, and online processing simulation

2021 ◽  
Author(s):  
Masaya Misaki ◽  
Jerzy Bodurka ◽  
Martin P Paulus
Keyword(s):  
Image Processing ◽  
Data Processing ◽  
Real Time ◽  
Easy Access ◽  
External Application ◽  
Real Time Processing ◽  
Time Processing ◽  
Target Signal ◽  
Processing Pipeline ◽  
Anatomical Image

We introduce a python library for real-time fMRI (rtfMRI) data processing systems, Real-Time Processing System in python (RTPSpy), to provide building blocks for a custom rtfMRI application with extensive and advanced functionalities. RTPSpy is a library package including 1) a fast, comprehensive, and flexible online fMRI denoising pipeline comparable to offline processing, 2) utilities for fast and accurate anatomical image processing to define a target region on-site, 3) a simulation system of online fMRI processing to optimize a pipeline and target signal calculation, 4) interface to an external application for feedback presentation, and 5) a boilerplate graphical user interface (GUI) integrating operations with RTPSpy library. Since online fMRI data processing cannot be equivalent to offline, we discussed the limitations of online analysis and their solutions in the RTPSpy implementation. We developed a fast and accurate anatomical image processing script with fast tissue segmentation (FastSeg), image alignment, and spatial normalization, utilizing the FastSurfer, AFNI, and ANTs. We confirmed that the FastSeg output was comparable with FreeSurfer, and could complete all the anatomical image processing in a few minutes. Thanks to its highly modular architecture, RTPSpy can easily be used for a simulation analysis to optimize a processing pipeline and target signal calculation. We present a sample script for building a real-time processing pipeline and running a simulation using RTPSpy. The library also offers a simple signal exchange mechanism with an external application. An external application can receive a real-time neurofeedback signal from RTPSpy in a background thread with a few lines of script. While the main components of the RTPSpy are the library modules, we also provide a GUI class for easy access to the RTPSpy functions. The boilerplate GUI application provided with the package allows users to develop a customized rtfMRI application with minimum scripting labor. Finally, we discussed the limitations of the package regarding environment-specific implementations. We believe that RTPSpy is an attractive option for developing rtfMRI applications highly optimized for individual purposes. The package is available from GitHub (https://github.com/mamisaki/RTPSpy) with GPL3 license.

Design and Implementation of Medical Image Teleconsultation System Based on Web

2012 ◽  
Vol 429 ◽  
pp. 123-127 ◽  
Author(s):  
De Yu Chen ◽  
Zhi Lin Jiang ◽  
Jia Jun Yang ◽  
Wu Yi Zong
Keyword(s):  
Image Processing ◽  
Information Processing ◽  
Real Time ◽  
Medical Image ◽  
High Fidelity ◽  
Image Information ◽  
Real Time Processing ◽  
Time Processing ◽  
Design And Implementation ◽  
Time Interaction

In telemedicine, real-time processing, processing without distortion, and browsing without plug-ins for medical image are these reasons that hinder implementation of medical image teleconsultation system. The paper presents a design of medical image teleconsultation system. The system is designed and achieved by comprehensive adoption of Silverlight, Deep Zoom, WCF and image processing technology. During the course of teleconsultation, real-time interaction, sharing and browsing for medical image meet the requirement for patients’ image information processing. Based on B/S, the system can achieve accurate locating, high-fidelity reduction and enlargement and quick browsing for medical image, and real-time interaction for consultation information through a universal browser.

Measurement System of Traffic Flow Using Real-Time Processing of Moving Pictures

2007 ◽  
pp. 296-305 ◽  
Author(s):  
Hyeong-Taek Park ◽  
Tae-Seung Lee ◽  
Sung-Won Choi ◽  
Sang-Seok Lim ◽  
Syng-Yup Ohn ◽  
...  
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Measurement System ◽  
Real Time Processing ◽  
Time Processing ◽  
Moving Pictures

scholarly journals Implementation of Thermal Event Image Processing Algorithms on NVIDIA Tegra Jetson TX2 Embedded System-on-a-Chip

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4416
Author(s):  
Bartłomiej Jabłoński ◽  
Dariusz Makowski ◽  
Piotr Perek
Keyword(s):  
Image Processing ◽  
Embedded System ◽  
Real Time ◽  
Plasma Diagnostics ◽  
Nuclear Fusion ◽  
Real Time Processing ◽  
Time Processing ◽  
Processing Algorithms ◽  
System On A Chip ◽  
Events Detection

Advances in Infrared (IR) cameras, as well as hardware computational capabilities, contributed towards qualifying vision systems as reliable plasma diagnostics for nuclear fusion experiments. Robust autonomous machine protection and plasma control during operation require real-time processing that might be facilitated by Graphics Processing Units (GPUs). One of the current aims of image plasma diagnostics involves thermal events detection and analysis with thermal imaging. The paper investigates the suitability of the NVIDIA Jetson TX2 Tegra-based embedded platform for real-time thermal events detection. Development of real-time processing algorithms on an embedded System-on-a-Chip (SoC) requires additional effort due to the constrained resources, yet low-power consumption enables embedded GPUs to be applied in MicroTCA.4 computing architecture that is prevalent in nuclear fusion projects. For this purpose, the authors have proposed, developed and optimised GPU-accelerated algorithms with the use of available software tools for NVIDIA Tegra systems. Furthermore, the implemented algorithms are evaluated and benchmarked on Wendelstein 7-X (W7-X) stellarator experimental data against the corresponding alternative Central Processing Unit (CPU) implementations. Considerable improvement is observed for the accelerated algorithms that enable real-time detection on the embedded SoC platform, yet some encountered limitations when developing parallel image processing routines are described and signified.

scholarly journals REFINEMENTS AND INTRODUCTION OF PHOTOGRAMMETRIC ELEMENTS TO AN EXPERIMENTAL TRILATERATION BASED OPTICAL METROLOGY SYSTEM

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 771-776
Author(s):  
J. Heaps ◽  
B. Hughes
Keyword(s):  
Real Time ◽  
Measurement System ◽  
Large Volume ◽  
Optical Metrology ◽  
Real Time Processing ◽  
Time Processing ◽  
Calibration Process ◽  
Coordinate Measurement ◽  
And Control ◽  
Metrology System

Abstract. OPTIMUM is a novel optical coordinate measurement system designed to determine the location of omnidirectional targets within a large volume, the previous version of the system could determine the targets location with an uncertainty of 50 × 10−6 m. This paper describes some of the limitations of the original embodiment and changes being developed to address them. Version 2 of the system aims to solve the limitations of version 1 by integrating photogrammetric processes into the design and control processes of the system, along with redesigning the mechanical and optical relationships. The redesigned instrument will result in the ability to fully automate the initial calibration process and to allow for real-time processing of the measurement algorithms.

GPU Acceleration of Algorithm to Design Directional Volumetric Display for Real-time Processing

2019 ◽  
pp. 989
Author(s):  
Daiki Matsumoto ◽  
Ryuji Hirayama ◽  
Naoto Hoshikawa ◽  
Hirotaka Nakayama ◽  
Tomoyoshi Shimobaba ◽  
...  
Keyword(s):  
Real Time ◽  
Gpu Acceleration ◽  
Real Time Processing ◽  
Time Processing ◽  
Volumetric Display

Putting up barriers

2017 ◽  
Author(s):  
David J. Lobina
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Language Processing ◽  
Cognitive Domain ◽  
Linguistic Knowledge ◽  
Levels Of Explanation ◽  
Real Time Processing ◽  
Time Processing ◽  
Neural Underpinnings ◽  
Different Levels

The study of cognitive phenomena is best approached in an orderly manner. It must begin with an analysis of the function in intension at the heart of any cognitive domain (its knowledge base), then proceed to the manner in which such knowledge is put into use in real-time processing, concluding with a domain’s neural underpinnings, its development in ontogeny, etc. Such an approach to the study of cognition involves the adoption of different levels of explanation/description, as prescribed by David Marr and many others, each level requiring its own methodology and supplying its own data to be accounted for. The study of recursion in cognition is badly in need of a systematic and well-ordered approach, and this chapter lays out the blueprint to be followed in the book by focusing on a strict separation between how this notion applies in linguistic knowledge and how it manifests itself in language processing.

scholarly journals Limits on expectation-based processing: Use of grammatical aspect for co-reference in L2

2020 ◽  
pp. 1-25
Author(s):  
Theres Grüter ◽  
Hannah Rohde
Keyword(s):  
Real Time ◽  
Language Processing ◽  
Judgment Task ◽  
Linguistic Knowledge ◽  
Real Time Processing ◽  
Time Processing ◽  
Grammatical Aspect ◽  
Level Information ◽  
Native Speakers Of English ◽  
Reference Processing

Abstract This study examines the use of discourse-level information to create expectations about reference in real-time processing, testing whether patterns previously observed among native speakers of English generalize to nonnative speakers. Findings from a visual-world eye-tracking experiment show that native (L1; N = 53) but not nonnative (L2; N = 52) listeners’ proactive coreference expectations are modulated by grammatical aspect in transfer-of-possession events. Results from an offline judgment task show these L2 participants did not differ from L1 speakers in their interpretation of aspect marking on transfer-of-possession predicates in English, indicating it is not lack of linguistic knowledge but utilization of this knowledge in real-time processing that distinguishes the groups. English proficiency, although varying substantially within the L2 group, did not modulate L2 listeners’ use of grammatical aspect for reference processing. These findings contribute to the broader endeavor of delineating the role of prediction in human language processing in general, and in the processing of discourse-level information among L2 users in particular.

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