Re: macro: convert calibrated value to raw pixel value?

Posted by Herbie on
URL: http://imagej.273.s1.nabble.com/macro-convert-calibrated-value-to-raw-pixel-value-tp5022651p5022652.html

Good day Kenneth,

apart from the calibration problem I'd never use pixelwise operations
for the processing of whole images. Please have a look at:

"*changeValues(v1, v2, v3)*
Changes pixels in the image or selection that have a value in the range
v1-v2 to v3. For example, changeValues(0,5,5) changes all pixels less
than 5 to 5, and changeValues(0x0000ff,0x0000ff,0xff0000) changes all
blue pixels in an RGB image to red. In ImageJ 1.52d or later, use
changeValues(NaN,NaN,value) to replaces NaN values."

Regards

Herbie

:::::::::::::::::::::::::::::::::::::::::::
Am 11.11.19 um 04:31 schrieb Kenneth Sloan:

> I decided to learn a bit about the macro language (usually I write everything in Java).
>
> To start with, I thought I would write something simple.  Note that this is an exercise in
> techniques.
>
> I've hit a snag. I was trying to convert a calibrated 16-bit image to an 8-bit version, by processing it
> pixel-by-pixel.  Motivated by a previous question here, I wanted to set all pixels < 0.0 to 0,
> all pixels in  [0.0,10.0) to 50, those in [10.0, 20.0) to 100 ....etc.  Finally, all pixels with calibrated
> values > 40.0 should be set to 255.
>
> First, I tried going from a source image to a target image.  But...this seemed painfully slow because of the need(?)
> to constantly selectImage() on every getPixel() and putPixel().
>
> So...I switched to doing it in place.  This was speedy enough, but I ran into an issue with calibration.
>
> To categorize the pixels, I wanted calibrated values.  OK - I found getValue(x,y) and that was fine.  But...now
> I need to WRITE a calibrated value.  I can't find a function to do that.  putPixel(x,y,value) seems to accept raw pixel values.
> I found a method to convert raw pixel values to calibrated values, but not the other way around.
>
> Below is the current state of my floundering.  All hints gratefully accepted.  But please - don't try to tell me how to
> perform the high-level task easier.  It's just a warm-up exercise to become familiar with all the tools.
>
> Note that I have commented out some lines at the end - these show what I intend to do eventually.  But, right now I can't get correct calibrated values written to the image.
>
> I would also be interested in a reasonable way to do this without modifying (or copying) the original source image).  It seems to me to be cleaner to write the new pixels to a new target image.  But, that appears to be r e a l l y   s l o w.  (or, I don' know how to do it correctly)
>
> Be kind...
> ====================================================================================
> function sixBins(pixelIn){
>   if(pixelIn <=  0.0)
>     pixelOut = 0*5;
>   else if(pixelIn <= 10.0)
>       pixelOut = 10*5;
>   else if(pixelIn <= 20.0)
>       pixelOut = 20*5;
>   else if(pixelIn <= 30.0)
>       pixelOut = 30*5;
>   else if(pixelIn <= 40.0)
>     pixelOut = 40*5;
>   else if(pixelIn > 40.0)
>       pixelOut =  255.0;
>   return pixelOut;
>   }
>
> orig = getImageID();
> title = getTitle();
> w = getWidth();
> h = getHeight();
>
> print(title + " is " + w + "x" + h);
>
> for(row=0;row<h;row++){
>   for(col=0;col<w;col++) {
>     pixelIn = getValue(col,row);  // gives correct calibrated values!
>     pixelOut = sixBins(pixelIn);  // appears to work fine
>     setPixel(col,row,pixelOut);   // does not work if the image is 16-bit calibrated
>     print(pixelIn + " -> " + pixelOut); // really verbose debugging
>   }
> }
>  
> run("Histogram");
> // selectImage(orig);
> // setMinAndMax(0,255);
> // run("8-bit");
> // selectImage(orig);
> // run("Histogram");
> ====================================================================================
> --
> Kenneth Sloan
> [hidden email]
> Vision is the art of seeing what is invisible to others.
>
> --
> ImageJ mailing list: http://imagej.nih.gov/ij/list.html
>

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