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Graph curve acquisition and comparison system

AcquisitionComparisonConversionCurvesGraphicsInformatica Tsd En

Introduction

Tool that allows you to extract data from a graph in image format in order to use them as a comparison. In this way, it is possible to verify one’s own results with those available from the literature and to evaluate the reliability of the simulations themselves.

Technical features

The invention consists in obtaining a comparison graph in a graphic software environment, in selecting some points and relative interpolation of one or more curves contained in the comparison graph, in order to create a vectorization of the curves contained in the graph. Subsequently or during the previous step, the interpolated curves are placed in relation with the metric scales of the comparison graph, in abscissa and ordinate, in order to obtain a matrix of points that can be easily compared with a matrix of points corresponding to one or more more curves obtained experimentally or through a mathematical model that you want to test by comparing it with this comparison graph. The coordinates of the points are transformed from the reference system of the monitor into the reference system of the comparison chart and vice versa. The comparison time of the curves is reduced, as are the uncertainties. The comparison is more objective, considerably increasing the confidence on the correctness of the extracted comparison data with which the comparison is being made. In many simulation software there is a graphics section for the representation of the results obtained from the simulation, but in none there is a tool capable of extracting data from a graph in image format so that it can be used as a comparison.

Possible Applications

  • Scientific research: all fields which require comparing measurements obtained and results found in graphical format.

Advantages

  • Possibility of interpolating the points taken by the user;
  • Ability to make direct comparisons with the data already in the user’s possession;
  • Time improvement in the process of extrapolation and comparison, therefore of the validation in its entirety;
  • More objective validation and large number of manipulable image formats.