The Diagnostic Application of Brain Image Processing and Analysis System for Ischemic Stroke

2006 ◽  
pp. 31-38
Author(s):  
Tzyh-Chyang Chang ◽  
Jiann-Der Lee ◽  
Chung-Hsien Huang ◽  
Tony Wu ◽  
Chi-Jen Chen ◽  
...  
Keyword(s):  
Image Processing ◽  
Ischemic Stroke ◽  
Brain Image ◽  
Diagnostic Application ◽  
Image Processing And Analysis ◽  
Analysis System

Image processing and analysis system for development and use of free flow electrophoresis chips

Lab on a Chip ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 256-266 ◽  
Author(s):  
Sven Kochmann ◽  
Sergey N. Krylov
Keyword(s):  
Image Processing ◽  
Free Flow ◽  
Quantitative Characterization ◽  
Image Processing And Analysis ◽  
Analysis System

An image processing and analysis system facilitates quantitative characterization of performance of free-flow-electrophoresis chips.

Image Processing and Analysis System for Corneal Endothelial Cell Based on LabVIEW and MATLAB

2014 ◽  
Vol 687-691 ◽  
pp. 3777-3781
Author(s):  
Cheng Bo Yu ◽  
Yan Hong Ke ◽  
Dan Xiao ◽  
Yang Yu Yuan ◽  
Yi Ju Yang
Keyword(s):  
Image Processing ◽  
Endothelial Cell ◽  
Reference Value ◽  
Corneal Endothelial Cell ◽  
Arithmetical Operation ◽  
Image Processing And Analysis ◽  
Mixed Programming ◽  
Analysis System ◽  
Relevant Calculation ◽  
Intuitive Interface

To process corneal endothelial cell image quickly and efficiently, observe the corneal endothelial cell form and relevant calculation and analysis. This system adopts mixed programming of LabVIEW and MATLAB, to have image processing and analysis of the corneal endothelial cell. Use LabVIEW to design operation and display interface, and send the images collected to MATLAB for complex arithmetical operation, then put out data in LabVIEW. The experiment indicates the system has the advantage of intuitive interface, convenient operation, and quick arithmetic, has the practical reference value.

Integrated 3D medical image processing and analysis system

2003 ◽  
Author(s):  
Jie Tian ◽  
Huiguang He ◽  
Mingchang Zhao ◽  
Guangming Li ◽  
Xingfei Ge ◽  
...  
Keyword(s):  
Image Processing ◽  
Medical Image ◽  
Medical Image Processing ◽  
Image Processing And Analysis ◽  
Analysis System

Validation of a new image analysis procedure for quantifying filamentous bacteria in activated sludge

2014 ◽  
Vol 70 (6) ◽  
pp. 955-963 ◽  
Author(s):  
Ewa Liwarska-Bizukojc ◽  
Marcin Bizukojc ◽  
Olga Andrzejczak
Keyword(s):  
Image Processing ◽  
Image Analysis ◽  
Activated Sludge ◽  
Analysis Procedure ◽  
Automated Image Analysis ◽  
Filamentous Bacteria ◽  
Image Processing And Analysis ◽  
Manual Counting ◽  
Analysis Application ◽  
Activated Sludge Systems

Quantification of filamentous bacteria in activated sludge systems can be made by manual counting under a microscope or by the application of various automated image analysis procedures. The latter has been significantly developed in the last two decades. In this work a new method based upon automated image analysis techniques was elaborated and presented. It consisted of three stages: (a) Neisser staining, (b) grabbing of microscopic images, and (c) digital image processing and analysis. This automated image analysis procedure possessed the features of novelty. It simultaneously delivered data about aggregates and filaments in an individual calculation routine, which is seldom met in the procedures described in the literature so far. What is more important, the macroprogram performing image processing and calculation of morphological parameters was written in the same software which was used for grabbing of images. Previously published procedures required using two different types of software, one for image grabbing and another one for image processing and analysis. Application of this new procedure for the quantification of filamentous bacteria in the full-scale as well as laboratory activated sludge systems proved that it was simple, fast and delivered reliable results.

A Hair Volume Analysis System Using Deep Learning and Image Processing Technologies

2021 ◽  
Author(s):  
Ming-Che Chen ◽  
Wan-Jung Chang ◽  
Yu-Xiang Xiao ◽  
Zi-Xuan Zhang ◽  
Yi-Chan Chiu ◽  
...  
Keyword(s):  
Image Processing ◽  
Deep Learning ◽  
Processing Technologies ◽  
Volume Analysis ◽  
Analysis System
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