from ij import IJ # Log a message IJ.log("Starting image processing...") # Log some data image = IJ.getImage() IJ.log("Image dimensions: " + str(image.getWidth()) + "x" + str(image.getHeight()))
from ij import IJ from ij import filters image = IJ.getImage() # Apply Gaussian blur filter sigma = 2.0 filters.gaussianBlur(image, sigma)In this example, the `gaussianBlur()` function from the `filters` module is used to apply a Gaussian blur filter to the current image. The `sigma` parameter controls the strength of the blur. The package library being used in this example is again likely `ij`. Overall, Python IJ is a powerful tool for image processing and analysis. By combining the power of ImageJ with the flexibility of Python, users can create custom image analysis workflows that are tailored to their specific needs.