Imaging

Enhances the global contrast by equalizing the histogram. This plugin transforms pixel intensities so that they are uniformly distributed over the gray-scale range. It operates on the selected channel of each image of a sequence. This operation is also called "histogram flattening".

This plugin parses arbitrary mathematical expressions and compute results using images as variables.

The aim of this plugin is to characterise the orientation and isotropy properties of a region of interest (ROI) in an image, based on the evaluation of the gradient structure tensor in a local neighborhood. 

Compute and display the histogram of a sequence, with a more accurate control on the histogram parameters (such as the number of bins) than the built-in Icy widget. In particular, the histogram can be computed either over a whole sequence or over a sub-region defined by a ROI.

The plugin Landmark Correspondences calculates a transformation between two corresponding landmark clouds and renders a transformed image. The landmarks are read from point selections over two images. The transformation is estimated by a least squares or Moving Least Squares fit for the available models.