I have a couple of images (.tif file) on which I want to perform the following commands:
Import the image: img = Import["path/to/file/image01.tif"]
img = Import["path/to/file/image01.tif"]
Remove the alpha channel: img=RemoveAlphaChannel[ColorConvert[img, "Grayscale"]]
Convert the imported image to data: rawImg=ImageData[img]
Finally, plot the mean of the image values in the vertical direction: ListPlot[Mean[grayRaw]]
As you can see, I am not asking for help about how to those manipulations on my image file. Let's say I have a bunch of 10 such images, and I am looking for the most promising ListPlot of those.
One way I can do this is to get these 4 commands into one cell, and just change the image file name (image01.tif, image02.tif etc.).
But I would like to ask whether any one here in the community can give me a more systematic way of doing the manipulations above with a Wolfram Package file (.wl file). I read that this is the "more" correct way for developing Mathematica code (other than .nb files).
What about writing a function for doing these manipulations? Is that a good idea?
Thanks a lot!
Writing a function is the best way to do that. Something like
Import[imageFileName] // ColorConvert[#, "Grayscale"] & // RemoveAlphaChannel //
ImageData // Mean //
ListPlot[#, PlotLabel -> FileNameTake[imageFileName], ImageSize -> 300] &
Then map it over a list of filenames. I ran it on a directory with some PNG images I had. Change *.png to *.tif and dir to the name of the directory with your images.
FileNames["*.png", dir] // Map[meanGrayPlot] //
Partition[#, UpTo] & // Grid[#, Frame -> All] & //
Labeled[#, "Mean Graylevel Plots", Top] &
That's a great answer. Thanks a lot!