from ij import IJ # Open an image image = IJ.openImage("path/to/image.tif") # Set a global threshold at 50 image.getProcessor().setThreshold(50, 255, None) # Show the thresholded image image.show()
from ij import IJ # Open an image image = IJ.openImage("path/to/image.tif") # Get the histogram of the image histogram = image.getProcessor().getHistogram() # Find the threshold using a custom thresholding method threshold_value = custom_thresholding_method(histogram) # Set the threshold based on the threshold value image.getProcessor().setThreshold(threshold_value, 255, None) # Show the thresholded image image.show()In both examples, we first open an image using the `IJ.openImage()` function, then set a threshold using `getProcessor().setThreshold()`. In example 1, we set a global threshold using a fixed value (50), while in example 2, we calculate the threshold value using a custom thresholding method that uses the image's histogram. Finally, we show the thresholded image using the `image.show()` method. The IJ library is a package library that provides image analysis and processing tools for the ImageJ software.