CODEWITHSUNDEEP
imagemagick
Marcel
Marcel

Reputation: 57

imagemagick check if image is of almost one single color

Friends,

I have a stack of color-scanned images. Some are from regular white paper with text or images, others were scanned from colored paper (blank pages, same green colored paper used.)

I'd like to identify these colored paper images. Problems:

  1. paper's color ("background") is not scanned very uniformly, often has a wavy or structured pattern
  2. green tone is quite different depending on the scanner used
  3. scanner does not catch the full sheet resulting in a white or shadowed "border" around green area

My idea was to see if say 90% of the image is some sort of green and tried using a sorted histogram. But because of (1) and esp. (2) I have a hard time picking a working color value from the histogram data.

Any help appreciated!

Edit: Here are three sample images, scanned from the same sheet of paper. enter image description here enter image description here enter image description here

Upvotes: 1

Views: 579

Answers (1)

Mark Setchell
Mark Setchell

Reputation: 207425

Have a look at HSV colourspace on Wikipedia - specifically this diagram.

It should be a better place to find the colour of your images, regardless of scanner and calibration.

Now, let's create a lime-green, yellow and cyan block and derive its colour using ImageMagick:

magick -size 100x100 xc:lime -colorspace HSV -channel 0 -separate -format "%[fx:mean*360]" info:
120

magick -size 100x100 xc:yellow -colorspace HSV -channel 0 -separate -format "%[fx:mean*360]" info:
60
                                                                                                                                  
magick -size 100x100 xc:magenta -colorspace HSV -channel 0 -separate -format "%[fx:mean*360]" info:
300
                                                                                                                                                                 
magick -size 100x100 xc:cyan -colorspace HSV -channel 0 -separate -format "%[fx:mean*360]" info:
180

Hopefully you can see we are correctly calculating the Hue angle. Now to your image. I have added an artificial frame so you can see how to remove the edges:

enter image description here

We can remove the frame like this:

magick YOURSCAN.jpg -gravity center -crop 80% cropped.jpg

enter image description here

So, my complete suggestion would be to crop and convert to HSV and check the mean Hue. You could also test if the image is fairly saturated so it doesn't pick up grey-ish, uncoloured images. You could also test the variance in the Hue channel to see if there are many different colours - or the spread of the hues is large and reject ones where it is large.

magick YOURSCAN.jpg -gravity center -crop 80% -colorspace HSV -channel 0 -separate -format "%[fx:mean*360]" info:

Just for reference, your 3 images come up with the following Hue angles on a scale of 0..360:

79, 68, 73

I would suggest you test a few more samples to establish a reasonable range.

Upvotes: 1

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