Posted by
Wayne Rasband-2 on
URL: http://imagej.273.s1.nabble.com/Retrieving-channel-Image-Processors-from-Hyperstack-tp5020342p5020348.html
> On Mar 27, 2018, at 4:57 AM, Greg <
[hidden email]> wrote:
>
> Hello,
>
> I found some odd/surprising behavior when trying to extract the image
> processors from a Hyperstack, in jython:
It appears the ImageProcessors are sharing a pixel array. You can work around this problem by changing
“ip = orig.getProcessor()"
to
ip = orig.getProcessor().duplicate()
-wayne
> from ij import IJ,ImagePlus
>
> orig = IJ.getImage()
>
> imps = []
> for chan in range(1,4):
> print chan
> orig.setPosition(chan,1,1)
> ip = orig.getProcessor()
> print ip.getPixel(100,100)
> imps.append( ImagePlus(str(chan),ip))
>
> for imp in imps:
> ip2 = imp.getProcessor()
> print ip2.getPixel(100,100)
> imp.show()
>
> With this I get three times exactly the same extracted ImagePlus, as opposed
> to the expected three different images: one for each channel. The first
> 'ip.getPixel' first shows different values indicating that I work indeed on
> different processors, the 2nd 'ip2.getPixel' shows that it is the same for
> every Image Plus; could that be a jython issue? I attach a minimal example
> stack. IPChannelTest.tif
> <
http://imagej.1557.x6.nabble.com/file/t380220/IPChannelTest.tif>
>
> Best,
> Greg
>
>
> --
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