Quantitative Assessment of Color Tracking and Gray Tracking in Color Medical Displays

2019 ◽  
Vol 2019 (1) ◽  
pp. 349-354
Author(s):  
Wei-Chung Cheng ◽  
Chih-Lei Wu ◽  
Aldo Badano

The goal of this study is to develop quantitative metrics for evaluating color tracking and gray tracking in a color medical display. Color tracking is the chromaticity consistency of the red, green, or blue shades. Gray tracking is the chromaticity consistency of the gray shades. Color tracking and gray tracking are the most important colorimetric responses of a color medical display because they directly indicate the color calibration quality and can therefore be used to compare color performance between displays. Two metrics, primary purity and gray purity, are defined to measure the color shift of the primary shades and gray shades of a color display, respectively. The area under the curves of primary purity and gray purity can then represent the quality of color tracking (C_AUC) and gray tracking (G_AUC), respectively. Fifteen displays including medical, professional-grade, consumer-grade, mobile, and special displays were tested to compare their C_AUC and G_AUC. The OLED displays have the greatest C_AUC values. The medical and professional-grade displays have the greatest combinations of C_AUC and G_AUC values. Most consumer-grade displays have lower C_AUC and G_AUC values, but some show better gray tracking than color tracking. The special displays exhibit particularly poor color and gray tracking. Using C_AUC and G_AUC together can quantitatively predict and compare color performance of different displays.

Author(s):  
D. M. Nenadovich ◽  
I. V. Markin

One of the main goals of modernization of telecommunication networks is to increase its performance. For a quantitative assessment of the success of improving the system, methods were developed for assessing the expert indicators of the performance quality of the designed digital telecommunication system, synthesized on the basis of previously developed decomposition and reduction algorithms. The main expert indicators of the performance quality of the designed system are considered, the dependences for calculating these indicators are presented.


2020 ◽  
Vol 32 ◽  
pp. 152-159
Author(s):  
Assen Marinov ◽  
Georgi Yordanov ◽  
Martin Kambushev ◽  
Stefan Biliderov ◽  
Kiril Kambushev

Flight training is a complex and responsible training process for pilot and requires experienced specialists, good organization and quality control of flight activity. Its main purpose is to create highly qualified personnel with long-term professional skills in the techniques of piloting, aircraft flying and the combat use of aircraft. Assessment is an important part of the training process for young cadets. It determines the extent to which trainees have been able to perceive, learn and comprehend their new flying activity and their ability to apply the acquired knowledge in tense conditions. Assessment is directly related to the quality of the flight training, and it should show the trainees the mistakes they have made and encourage them to upgrade their knowledge and skills. The trainees should be well versed in the assessment methodology and understand its purpose, otherwise the grades obtained will not be an indicator of their ability.


2008 ◽  
Vol 32 (7) ◽  
pp. 561-568 ◽  
Author(s):  
Jong-Chan Lee ◽  
Kwan-Soo Kim ◽  
Jong-Hyung Yim ◽  
Hyo-Won Lee ◽  
Young-Min Kwon ◽  
...  

Author(s):  
Jorge D. Camba ◽  
Manuel Contero ◽  
Pedro Company ◽  
David Pérez-López ◽  
Jeffrey Otey

Digital product data quality has proven to be a unifying theme in designing and reusing efficient products, particularly in the context of the Model-Based Enterprise (MBE). More specifically, the quality of the master model (usually a history-based parametric model) is critical, as it determines the quality of all secondary models used in subsequent downstream processes. However, no quantitative metrics exist that can provide a reliable assessment of quality at a high semantic level. In this paper, we introduce dimensional variability as a quality indicator for parametric models that connects the effective variability range of the dimensional constraints in a model to the robustness and flexibility of the parametric geometry, which determines its reusability. As a validation effort, we report the results of a study where a set of parametric models of varying complexity was analyzed, and discuss the significance of the links between the proposed metric and various aspects of the internal graph structure of the CAD model.


2008 ◽  
Author(s):  
Herke J. Noordmans ◽  
Sander Kruit ◽  
Patrick Stroosnijder ◽  
Henk van den Brink ◽  
Rudolf Verdaasdonk

2014 ◽  
Vol 644-650 ◽  
pp. 2587-2590
Author(s):  
Yu Qin Xu ◽  
Xiang Ling Zhan ◽  
Zheng Ren ◽  
Tong Li ◽  
Guo Hua Qiao ◽  
...  

The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.


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