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Automatically crops an image by finding the smallest bounding box which still contains all pixels of the specified value.

Options include Pixel values, Margin, and more...

This KNIME node is included in the KNIME Image Processing Extension

The input image is aligned using a simple cross-correlation approach on the smoothed image.

This node is contained in KNIME Image Processing extension

Fill holes in objects 

Included into EBImage Image processing and analysis toolbox for R

A Mathematica package available for the symbolic computation of exponential spline related quantities: B-splines, Gram sequence, Green function, and localization filter.

The plugin performs stitching of images of a tiled scan to reconstruct the image of the whole sample.

EnhanceOrSuppressFeatures enhances or suppresses certain image features (such as speckles, ring shapes, and neurites), which can improve subsequent identification of objects.

The Trainable Weka Segmentation is a Fiji plugin that combines a collection of machine learning algorithms with a set of selected image features to produce pixel-based segmentations. Weka (Waikato Environment for Knowledge Analysis) can itself be called from the plugin. It contains a collection of visualization tools and algorithms for data analysis and predictive modeling, together with graphical user interfaces for easy access to this functionality.

The Graph Cut plugin provides a way to obtain a globally smooth binary segmentation. As input, you have to provide a gray-scale image that represents the pixel affinities for belonging to the foreground. Via a single parameter you can adjust the smoothness of the segmentation.

in CP 2.1, it was "ApplyThreshold". Renamed to "Threshold" from 3.0. 

Draws a contour plot on top of a sequence.