I try to get verbose information about a part of an image. I read the doc of imageMagick and as far as I understand it, it should be possible to call identify with the -extract option. But, when I call it, I got an error message:
'unrecognized option: -extract'
.
This is my commandline call identify -verbose -extract 20x20+0+20 ./mosaicTemplate.jpg
Does anyone knows, what is wrong with my commandline Call or has an convenient workaround?
Thanks in advance! Simon
Create a test image like this:
convert -size 500x500 gradient:red-blue image.png
Now check details of top left corner where image is pretty red:
convert image.png -crop 20x20+0+0 -verbose info:
Image: image.png
Format: PNG (Portable Network Graphics)
Mime type: image/png
Class: DirectClass
Geometry: 20x20+0+0
Units: Undefined
Type: Palette
Endianess: Undefined
Colorspace: sRGB
Depth: 16-bit
Channel depth:
red: 16-bit
green: 1-bit
blue: 16-bit
Channel statistics:
Pixels: 400
Red:
min: 63040 (0.961929)
max: 65535 (1)
mean: 64287.3 (0.980962) <--- very red
standard deviation: 757.295 (0.0115556)
kurtosis: -1.20609
skewness: 0.000125086
entropy: 1
Green:
min: 0 (0)
max: 0 (0)
mean: 0 (0)
standard deviation: 0 (0)
kurtosis: 0
skewness: 0
entropy: nan
Blue:
min: 0 (0)
max: 2495 (0.0380713)
mean: 1247.65 (0.0190379) <--- not very blue
standard deviation: 757.295 (0.0115556)
kurtosis: -1.20609
skewness: -0.000125086
entropy: 1
Now check details of bottom left corner where it is more blue:
convert image.png -crop 20x20+0+480 -verbose info:
Image: image.png
Format: PNG (Portable Network Graphics)
Mime type: image/png
Class: DirectClass
Geometry: 20x20+0+0
Units: Undefined
Type: Palette
Endianess: Undefined
Colorspace: sRGB
Depth: 16-bit
Channel depth:
red: 16-bit
green: 1-bit
blue: 16-bit
Channel statistics:
Pixels: 400
Red:
min: 0 (0)
max: 2495 (0.0380713)
mean: 1247.65 (0.0190379) <--- not very red
standard deviation: 757.295 (0.0115556)
kurtosis: -1.20609
skewness: -0.000125086
entropy: 1
Green:
min: 0 (0)
max: 0 (0)
mean: 0 (0)
standard deviation: 0 (0)
kurtosis: 0
skewness: 0
entropy: nan
Blue:
min: 63040 (0.961929)
max: 65535 (1)
mean: 64287.3 (0.980962) <--- very blue
standard deviation: 757.295 (0.0115556)
kurtosis: -1.20609
skewness: 0.000125086
entropy: 1