Find Software to Automate Recognition of 2D Graphs

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Discussion Overview

The discussion revolves around the search for software that can recognize 2D graphs from images and generate corresponding Cartesian equations. The context includes practical applications in fields such as thermoelectric modules and LED panel design, focusing on the automation of data extraction from graphical representations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant inquires about software that can convert images of curves into 2D Cartesian equations, highlighting the inefficiency of manually estimating data points from graphs.
  • Another participant suggests checking a Wikipedia page that lists programs for converting scanned graphs to data, indicating a lack of personal experience with such software.
  • A different participant shares a positive experience with the software GetData Graph Digitizer, stating it effectively recognizes graph images and generates (x,y) data points, which can then be used for regression analysis in Excel.
  • Another user expresses gratitude for the information and mentions their intention to try GetData, noting its potential to streamline their workflow in extracting data from LED manufacturers' graphs.
  • This user also shares their background in learning to design LED panels, indicating a novice level of experience in the field.

Areas of Agreement / Disagreement

Participants generally agree on the usefulness of software like GetData Graph Digitizer for automating the extraction of data from graphs, but there is no consensus on other software options or methods, as some participants have not yet tried the suggested solutions.

Contextual Notes

Limitations include the reliance on specific software recommendations and the varying levels of experience among participants in using such tools. There is also a lack of detailed discussion on the accuracy or limitations of the suggested software.

Who May Find This Useful

This discussion may be useful for individuals in engineering or scientific fields who frequently work with graphical data representations and seek efficient methods for data extraction and analysis.

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Does anyone know if there is a software program that I can find/buy somewhere that can
recognize an image of a curve and generate a 2D Cartesian equation for it?

In my line of work I am constantly referencing these regular 2d graphs (power vs resistance graphs for thermoelectric modules) Cartesian coordinate system (x,y) graphs. They are always given to me by busy manufacturers so I can rarely get access to the original data that resulted in the graph produced. I have to spend a lot of time tediously estimating each point by hand to then enter each point into Excel to generate a polynomial regression curve fit. Granted, I probably could have spent the time doing this while typing all of this, BUT it is getting old :cry:
 
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I've never needed to do this before. So, I can't be much help. However, have you tried any of the programs mentioned in http://en.wikipedia.org/wiki/Converting_scanned_graphs_to_data
 
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That is exactly what I was looking for! I downloaded the software called GetData Graph Digitizer & it works perfectly. It recognizes images of graphs and generates (x,y) data points for them. Just plug that data into Excel & do a regression curve fit & bingo! This will save me hours of work. Thanks for the help!
 


ohhh, sorry to drag up this older thread, but this was EXACTLY the question I had, and this was one of the first hits on google. I haven't tried GetData's project yet (give me an hour!) but it appears to be the perfect way to take the information LED manufacturers actually give me and put it in equation form.

I've been using photoshop overlays because I don't actually need the curve, just a bunch of data points, but this will be a MUCH better use of my time. Thanks so much!

PS - I'm teaching myself how to design and build LED panels. I have virtually no background in the field since high school physics - I'm sure I'll be back =) Seems like you have an awesome resource here!
 

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