Undergrad A few questions about doing a Gaussian Fit

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SUMMARY

Gaussian fitting and Gaussian regression are distinct concepts, with Gaussian fitting focusing on modeling data to a Gaussian distribution, while regression involves predicting outcomes based on input variables. The discussion emphasizes the application of Gaussian fitting to image data, specifically how to process rows and columns of pixel values to achieve a bell curve representation. The user seeks clarity on the methodology for performing Gaussian fits, particularly whether to multiply pixel values by Gaussian coefficients or to calculate mean values before fitting. Understanding Gaussian fitting is essential for conducting further statistical analyses.

PREREQUISITES
  • Understanding of Gaussian functions and their properties
  • Familiarity with statistical analysis techniques
  • Knowledge of image processing concepts
  • Experience with statistical software packages
NEXT STEPS
  • Research Gaussian fitting techniques in image processing
  • Learn about the Jarque–Bera test for normality assessment
  • Explore statistical software options for Gaussian regression analysis
  • Study the mathematical foundations of Gaussian distributions
USEFUL FOR

Data analysts, statisticians, and image processing professionals seeking to apply Gaussian fitting techniques for data modeling and statistical analysis.

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A few questions about doing a Gaussian Fit :

1) Is gaussian fit and gaussian regression the same thing ?
2) I have a gaussian function that will return a list of gaussian numbers giving an initial list length. So if you input 5 you will get:
1,2,6,4,1.
My question is if I have an image and I want to do a gaussian fit on the Rows and the Columns and graph them separately.
would I :
A) Add up all values in rows 1- 5, than multiply the value from row 1 to 1, multiply the value from row 2 to 2 , row 3 to 6, row 4 to 1, and row 5 to 1 and then repeat for the columns?
or
B) Add up all the values in my rows, then solve for the mean value, and then I am not sure what would come next ...

or is there something else I should do?
 
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Can you define exactly what a Gaussian fit is?
 
Office_Shredder said:
Can you define exactly what a Gaussian fit is?

When you take data from an image and you fit it into a Bell curve.
Actually when you take any given data.
I am told you do this, because if your data can fit in a bell curve, then you can do other, statistical Analysis to it.
 
Oh cool!
but could someone answer my questions ?
 

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