scholarly journals Image Analysis of Eccentric Photorefraction

10.14311/546 ◽  
2004 ◽  
Vol 44 (2) ◽  
Author(s):  
J. Dušek ◽  
M. Dostálek
Keyword(s):  
Image Analysis ◽  
Data Analysis ◽  
Eye Movement ◽  
Measuring System ◽  
Video Sequences ◽  
Measuring Methods ◽  
Special System ◽  
Whole Process

This article deals with image and data analysis of the recorded video-sequences of strabistic infants. It describes a unique noninvasive measuring system based on two measuring methods (position of I. Purkynje image with relation to the centre of the lens and eccentric photorefraction) for infants. The whole process is divided into three steps. The aim of the first step is to obtain video sequences on our special system (Eye Movement Analyser). Image analysis of the recorded sequences is performed in order to obtain curves of basic eye reactions (accommodation and convergence). The last step is to calibrate of these curves to corresponding units (diopter and degrees of movement).

Limitations of a 3-D Image Analysis-Based Particle Size Measuring System for Wood Particle Dimension Measurement

2018 ◽  
Vol 50 (3) ◽  
pp. 358-362
Author(s):  
Jan T Benthien ◽  
Jan Ludtke ◽  
Rainer Friehmelt ◽  
Michael Schafer
Keyword(s):  
Particle Size ◽  
Image Analysis ◽  
Wood Particle ◽  
Measuring System ◽  
Dimension Measurement ◽  
Particle Dimension

Surface Displacement Measurement of Soil Mass by White Light Digital Image Analysis in Frequency Domain

2014 ◽  
Vol 915-916 ◽  
pp. 1234-1237
Author(s):  
Jun Jun Li ◽  
Xin Wei Yang ◽  
Wen Guang Shi
Keyword(s):  
Image Analysis ◽  
Frequency Domain ◽  
Digital Image ◽  
White Light ◽  
Digital Image Analysis ◽  
Surface Displacement ◽  
Soil Mass ◽  
Measuring System ◽  
Surface Displacements ◽  
Simple Measuring

The surface displacement of soil mass is an important standard for safety in civil engineering. In this paper, white light digital image analysis in frequency domain is introduced tomeasure surface displacement of soil mass. This method has the characteristics of whole-field, non-contact measurement and the simple measuring system and can obtain displacements by frequency domination correlation arithmetic. Surface displacements of soil mass are obtained by white light digital image analysis in frequency domain. Comparing the experimental results and the theoretical values, the little error exists and the usefulness of this method is certified.

scholarly journals Democratized image analytics by visual programming through integration of deep models and small-scale machine learning

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Primož Godec ◽  
Matjaž Pančur ◽  
Nejc Ilenič ◽  
Andrej Čopar ◽  
Martin Stražar ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Analysis ◽  
Deep Learning ◽  
Data Analysis ◽  
Protein Localization ◽  
Visual Programming ◽  
Developmental Competence ◽  
Image Clustering ◽  
Small Scale ◽  
Learning Approaches

Abstract Analysis of biomedical images requires computational expertize that are uncommon among biomedical scientists. Deep learning approaches for image analysis provide an opportunity to develop user-friendly tools for exploratory data analysis. Here, we use the visual programming toolbox Orange (http://orange.biolab.si) to simplify image analysis by integrating deep-learning embedding, machine learning procedures, and data visualization. Orange supports the construction of data analysis workflows by assembling components for data preprocessing, visualization, and modeling. We equipped Orange with components that use pre-trained deep convolutional networks to profile images with vectors of features. These vectors are used in image clustering and classification in a framework that enables mining of image sets for both novel and experienced users. We demonstrate the utility of the tool in image analysis of progenitor cells in mouse bone healing, identification of developmental competence in mouse oocytes, subcellular protein localization in yeast, and developmental morphology of social amoebae.

Study on Critical Moisture Content of Unsaturated Evaporation

2014 ◽  
Vol 513-517 ◽  
pp. 2643-2646
Author(s):  
Hua Zhang ◽  
Wen Long Hu ◽  
Jin Lu Cao
Keyword(s):  
Moisture Content ◽  
Thin Layer ◽  
Measuring System ◽  
Evaporation Process ◽  
Critical Moisture Content ◽  
Whole Process ◽  
Critical Moisture ◽  
Three Stages ◽  
Soil Water Characteristic Curves ◽  
Water Contents

Thin layer evaporation tests of three types of soil were conducted by a newly designed humidity-controllable evaporation and penetration measuring system and lasted for 8 days. The whole process of sample mass variation from wet to dry was recorded in the laboratory. The critical moisture content and air-dried moisture content were obtained from evaporation curve, which divided the evaporation process of thin layer unsaturated soil into three stages, including stable rate stage, reducing rate stage and residual stage. The soil water characteristic curves of soils were predicted by Arya and Paris model, the results showed that the critical moisture contents of evaporation process were the same with the water contents corresponding to residue values of SWCC, it is significant to studying on unsaturated evaporation process.

Mosaic representations of video sequences based on slice image analysis

2002 ◽  
Vol 23 (5) ◽  
pp. 513-521 ◽  
Author(s):  
Shaolei Feng ◽  
Hanqing Lu ◽  
Songde Ma
Keyword(s):  
Image Analysis ◽  
Video Sequences ◽  
Slice Image

scholarly journals Contact-Free Cognitive Load Recognition Based on Eye Movement

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Xin Liu ◽  
Tong Chen ◽  
Guoqiang Xie ◽  
Guangyuan Liu
Keyword(s):  
Cognitive Load ◽  
Eye Movement ◽  
Cognitive Load Theory ◽  
Recognition Rate ◽  
Support Vector ◽  
Load Theory ◽  
Whole Process ◽  
Movement Data ◽  
Mental Diseases ◽  
Contact Free

The cognitive overload not only affects the physical and mental diseases, but also affects the work efficiency and safety. Hence, the research of measuring cognitive load has been an important part of cognitive load theory. In this paper, we proposed a method to identify the state of cognitive load by using eye movement data in a noncontact manner. We designed a visual experiment to elicit human’s cognitive load as high and low state in two light intense environments and recorded the eye movement data in this whole process. Twelve salient features of the eye movement were selected by using statistic test. Algorithms for processing some features are proposed for increasing the recognition rate. Finally we used the support vector machine (SVM) to classify high and low cognitive load. The experimental results show that the method can achieve 90.25% accuracy in light controlled condition.

scholarly journals The Strategy of Developing the Competence of Human Resources of the State Civil Apparatus of Barru Regency Government

2021 ◽  
Vol 4 (2) ◽  
pp. 267
Author(s):  
Nur Ilmiah Rivai
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Human Resources ◽  
Phenomenological Approach ◽  
Observation Data ◽  
Analysis Techniques ◽  
Human Control ◽  
Whole Process ◽  
Competency Based ◽  
Performance Development

This study aims to develop a Human Resources competency strategy at the Barru Regent's Office. This research specifically focuses on the development of Human Resources competencies used by the Barru district government in developing Human Resources apparatuses in order to perform high. This study uses a phenomenological approach, the main data collection techniques are interviews, observation Data analysis techniques used are data analysis techniques descriptive qualitative. The analysis was conducted after data collection through interviews and direct observation in the field. The results of the study include a strategy for developing resource management where competency-based apparatus people are realized by referring to the vision, mission, and goals through the remuneration mechanism as a form of appreciation for apparatus that has good performance. Development system and apparatus fulfillment system to improve apparatus competence, maintain productive human resources, improve welfare and create more positive competition. The whole process is carried out by referring to the principles of (a) human control control (b) recruit activity train, educate, develop, (d) manage Human relations performance, (e) reward and discipline action (f) manage redeployment, and (g) negotiation for working conditions.

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