Process

Image processing operations which act on a pixel level, such as image filtering or thresholding.

Image operations which either act binary images. Binary images are 8-bit with 255-intensity background and 0-intensity objects.

Operations binarising images from the workspace. Thresholds can be calculated automatically or applied manually.

Applies the MPICBG implementation of CLAHE (Contrast Limited Adaptive Histogram Equalization).

Uses DeepImageJ to run Tensorflow and Pytorch models from the BioImage Model Zoo.

Apply bleaching correction to a specified image.

Applies the <a href="https://imagej.

Applies an integer pixel row shift to every other row (starting with top-most row).

Apply intensity filters to an image (or image stack) in the workspace.

Apply pixel-wise intensity calculations for two images of matching dimensions.

Applies a mathematical operation to all pixels of the input image stack.

Change the bit-depth of an image stack.

Invert intensity of each pixel.

Displays an image from the workspace, allowing the user to make manual edits, before saving it back into the workspace.

Sets the intensity to maximise the dynamic range of the image.

Performs pixel classification using the WEKA Trainable Segmentation plugin.

Apply whitebalance correction to an image based on a reference region (specified as an object).