I really don't undersstand why people don't just use excel charts. All you need to do is enter your zone densities once you have set up a chart. Very easy to copy for each test you do and reading off numbers to calculate slope at any two points on a curve is pretty simple.
I could not get excel to solve a polynomial that it gave me for my dataset. Do you know how to get it to solve for the 0.1 point from a polynomialt? How about getting it to calculate and show a fractional gradient tangent?
I could not get excel to solve a polynomial that it gave me for my dataset. Do you know how to get it to solve for the 0.1 point from a polynomialt? How about getting it to calculate and show a fractional gradient tangent?
IIRC, if you have the equation of the curve at any given point, then the fractional gradient tangent is the linear equation resulting from the derivative of that curve. The curve of a normal photographic material fits into a family of curves called cubic splines.
http://en.wikipedia.org/wiki/Spline_(mathematics)
http://en.wikipedia.org/wiki/Spline_interpolation
PE
Certainly; and it would be nice if Excel would come even close to solving it
I believe that you can use the VB plug in for Excel and write a macro that way which will solve the equation. I have not done it lately with Excel, but I have seen it done and have done some simple things such as write an Excel calculator that runs like the Windows version.
PE
Agreed....basically, the BTZS method tiltody.
Sandy....you are ,to my understanding, also pretty much summarizing the method that Phil Davis and others have suggested, correct? The ES of the paper and the DR of the negative are determined by using step wedge densities- as Mr. Davis and others have written.
Can't remember. I went through similar process ages ago and can't remeber what I did.
I think you want this software:
http://s91928265.onlinehome.us/curveexpert/
version I have was free. I think you get 30 days with this one but its not expensive and you can play with functions and formulas till the cows come home.
. And for the Delta-X of 0.22 I make that zero and subtract 0.22 from the rest of the Delta-X values in the chart.
Now I have a table of fudge values to add (or subtract) from my 0.1 determination on any film that gets processed to a gamma other than 0.65.
I really don't understand why people don't just use excel charts. All you need to do is enter your zone densities once you have set up a chart. Very easy to copy for each test you do and reading off numbers to calculate slope at any two points on a curve is pretty simple.
IIRC, if you have the equation of the curve at any given point, then the fractional gradient tangent is the linear equation resulting from the derivative of that curve. The curve of a normal photographic material fits into a family of curves called cubic splines.
http://en.wikipedia.org/wiki/Spline_(mathematics)
http://en.wikipedia.org/wiki/Spline_interpolation
PE
Alan,
Have you taken a look at my function? It will only work with the toe and straight-line regions, and there isn't any obvious (to me) physical basis, but it does seem to capture the essential features of the toe and line regions: It begins at zero with a derivative of zero; the derivative increases monotonically over a range defined by the adjustable parameters; and then it approaches a straight line. I don't have an extensive collection of data sets to try it with, but it looks pretty good to me with the data I have tried.
DAvid
Alan,
Have you taken a look at my function?...
PE, as you recall we have had the discussion of cubic splines before. Essentially, a cubic spline can be made to give a pretty good fit to any reasonably smooth curve, though it is almost never a truely optimal choice of fitting function.
If there is a functional form which is known to be a reasonable model for the process being fitted to a curve (for example, an exponential decay if one is dealing with radioactive decay, or a Gaussian function if one is dealing with a certain subset of statistical processes) then it is better to use that functional form for the fit rather than a cubic spline because one will generally get a better fit with fewer adjustable parameters. For example, if exposure curves were known to be very similar to an integrated Gaussian function then one could get a pretty accurate fit over the whole curve using a three parameter fit (four if one were to also include the zero-exposure density).
Has there been any research on determining functional forms for the toe and shoulder of the exposure curve? It seems likely to me that the best functional form would likely be something related to some kind of exponential function. It seems quite unlikely that the best form would be polynomial-like (or piece-wise polynomial) such as a cubic spline function. However, it's possible that a cubic spline might be good enough for practical purposes.
In principle the very best approach would be a non-parametric approach, i.e. working directly off the data without fitting a curve to the data. For this approach the points need to be spaced very close together and enough replicates of the experiment performed so the statistical variability in the result in negligible. However, a non-parametric approach would require a rather huge amount of work and is probably not practical.
Mahler;
What I actually recommended was to overexpose by about 1/3 stop. This has the effect of higher contrast if your original work was on the toe region, because now you would be on the straight line portion which is higher in contrast than the toe. I think that Sandy and Ralph said much the same.
And, this method does not require a lot of tests and curve drawing! However, it generally does not work with reversal films.
PE
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