The Use of a Computer-Based Image Analysis Program for the Diagnosis of Approximal Caries from Bitewing Radiographs

The control of the heating curve to manipulate microstructure during sintering is a way that has being studied and it presents advantages such as simplicity and economy. In this work, it was studied the sintering in two-steps of a commercial ultrafine alumina. For this, the alumina power was deagglomerated in milling ball and the specimens for sintering were pressed. Sintering was performed in a dilatometer, with constant heating rate of 15°C/min up to 1500°C. By these results, heat treatment temperatures for two-step sintering were defined. The sintering specimens were characterized through the apparent density measures using Archimedes method, the grain size measures using image analysis program and microstructural analysis using a scanning electron microscope. The results showed that the two-step sintering influence in the development of the final microstructure and permit the control of the grain size and density.

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Image analysis of wheat grains developed in different environments and its implications for identification

The Journal of Agricultural Science ◽

10.1017/s0021859606006010 ◽

2006 ◽

Vol 144 (3) ◽

pp. 221-227 ◽

Cited By ~ 5

Author(s):

J. K. SAINIS ◽

S. P. SHOUCHE ◽

S. G. BHAGWAT

Keyword(s):

Image Analysis ◽

Environmental Conditions ◽

Environmental Changes ◽

Grain Filling ◽

Test Case ◽

Wheat Varieties ◽

Varietal Identification ◽

Computer Based ◽

Euclidean Distances ◽

Grain Size And Shape

Varietal identification is an important aspect of crop research and utilization. Identification using computer-based image analysis could be an alternative to visual identification. However, the effectiveness of image analysis systems needs to be established under various real conditions. Three wheat varieties were sown on three different dates. Variation in the grain size and shape of these varieties, brought about by changes in the environmental conditions, was measured using Comprehensive Image Processing Software (CIPS). Some parameters showed considerable grain-to-grain variation, which was either inherent or due to environmental changes during grain filling. Euclidean distances were calculated using either means of all the parameters (ED1), or using only those parameters that did not show a high coefficient of variation (ED2). For samples of the same variety sown at different times, Euclidean distances were smaller compared with samples of different varieties, indicating that grains of the same variety resembled one another. By using the criterion of minimum Euclidean distance it was possible to distinguish between varieties, in spite of variation in grain shape and size due to environmental conditions. It was possible to identify correctly an unknown sample, taken as a test case.

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Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis

Translational Vision Science & Technology ◽

10.1167/tvst.4.6.5 ◽

2015 ◽

Vol 4 (6) ◽

pp. 5 ◽

Cited By ~ 48

Author(s):

Esra Ataer-Cansizoglu ◽

Veronica Bolon-Canedo ◽

J. Peter Campbell ◽

Alican Bozkurt ◽

Deniz Erdogmus ◽

...

Keyword(s):

Image Analysis ◽

Retinopathy Of Prematurity ◽

Disease Diagnosis ◽

Image Features ◽

Computer Based

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The Act of Listening to the Art of Giving Voice: Creative Alternative Practices in Writing About Health in Dance

Dance Research Journal ◽

10.1017/s0149767700008536 ◽

2005 ◽

Vol 37 (2) ◽

pp. 11-24 ◽

Cited By ~ 8

Author(s):

Sylvie Fortin ◽

Catherine Cyr ◽

Martyne Tremblay

Keyword(s):

Qualitative Research ◽

Data Analysis ◽

Research Team ◽

Analysis Program ◽

Team Members ◽

Computer Based ◽

Alternative Practices ◽

Research Analysis

Our research team members spent an entire summer interviewing pre-professional contemporary dancers with the aim of understanding their conceptions of health in relationship to their creative projects. At the beginning of autumn we (co-workers Martyne, Catherine, and myself) came together in our comfortable office to begin our data analysis. We had previously planned to use a computer-based, qualitative research analysis program to wade through our sizeable volume of data. We were ready to look systematically for themes emerging from our nine hours of interviews. Unexpectedly, however, things turned out differently, and we found ourselves excitedly reliving the interviews we had had with the interviewees. Through the act of listening and formally recording, we had succeeded in giving rich voice to the participants and the touching stories we were sharing anew were as revealing as when we heard them firsthand. Directing the project, I was pleased to notice how the interviews had found echoes in our own experiences; and, in fact, our discussions were being influenced by and filtered through our own subjective perspectives.

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Online Analysis of Textile Card Web Density

Textile Engineering ◽

10.1115/imece2003-55392 ◽

2003 ◽

Author(s):

Abhinav Saxena ◽

Jordan L. Dorrity ◽

Youjiang Wang

Keyword(s):

Image Analysis ◽

Product Quality ◽

Monitoring System ◽

Measurement Technique ◽

Density Measurement ◽

Graphical Interface ◽

Analysis Program ◽

Georgia Tech ◽

Machine Direction ◽

The Web

One area of research at Georgia Tech recently has focused on the measurement of Card-web density. This research is part of a study to spin yarns directly from a card web thus eliminating several processes. A Card-Spinning system has been designed which can quantify the cross-machine and machine direction web non-uniformity using a non-contact web density measurement technique. The web monitoring system for Card-Spinning uses a line scan camera to capture the image continuously and is equipped with an image analysis program, to characterize the web quantitatively, predicting the product quality. A multifunctional graphical interface has been designed for the image analysis program, which can be used to calculate the statistics for the non-uniformity of the card web both online and offline. This would help in characterizing the nature of non-uniformity and to understand the system better before employing methods to improve it. This paper discusses the development and results from the work.

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