Figure 1

Visual parameter optimisation for biomedical image processing. (a) Every data record is represented by a row in a tabular visualisation, with columns for input parameters at the left and columns for output measures at the right. (b) Input images are shown at the top right of the image browser. (c) The image-based output produced for each input image is displayed below it in the image browser. (d) To view image-based output, users select rows in the tabular visualisation. The output images that are shown are the ones produced when the parameter values corresponding to the selected rows in the table are applied to the input images. (e) A list of selected parameters and measures is provided to show which parts of their domains the selected output images correspond to. The data shown here are from the case study and show results of a parameterised colour deconvolution technique applied to stained histology images of a liver section and lymphoma (a type of blood cancer).