![]() ![]() ![]() # convert signed pixel values to unsigned. Replaced_unsignedpix = map(lambda p: p if (p 50) else 0, unsignedpix) # replace pixels with value more than 50 and less than 200 to 0. Unsignedpix = map(lambda p: p & 0xff, signedpix) # converting signed pixel values to unsigned using bitwise operation. Signedpix = imp.getProcessor().getPixels() # ImageProcessor.getPixels() returns an array of signed pixel values The scripts load “blobs.gif” example image from NIH server, then replaces pixels with values between 50 and 200 to 0. Here is another example of going back and forth between signed and unsigned values. The Jython book "The Definitive Guide to Jython": it's saying that the book is a version from 2009, but the latest commit is in Oct. Examples below show how they are actually used in Jython scripts, to save our time for reading the source code of each. This is because the style how each algorithm is implemented is not consistent (they are written by 1000 different people!) so it takes a while to figure out how to use them when we are writing a bioimage analysis workflow. This page is like a cookbook: there are no details about how to do programming, but more centered on how to use Classes built in ImageJ and its plugins. Recently, there is a very good tutorial page for real beginners: here (UVA Research Computing Learning Portal). ![]() The former is in a tutorial style so if you want to learn how to do scripting using Jython, that's the place where you go. For learning image processing using Fiji and Jython scripting, go to excellent tutorials written by Albert Cardona, such as here in his website or here in. ![]()
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