ImageSURF: An ImageJ Plugin for Batch Pixel-Based Image Segmentation Using Random Forests

Image segmentation is a necessary read more step in automated quantitative imaging.ImageSURF is a macro-compatible ImageJ2/FIJI plugin for pixel-based image segmentation that considers a range of image derivatives to train pixel classifiers which are then applied to image sets of any size to produce segmentations without bias in a consistent, transparent and reproducible manner.The plugin is available from ImageJ update site http://sites.imagej.net/ImageSURF/ and source code from https://github.

com/omaraa/ImageSURF.Funding statement: This research was read more supported by an Australian Government Research Training Program Scholarship.

Leave a Reply

Your email address will not be published. Required fields are marked *