SUSAN is an acronym for Smallest Univalue Segment Assimilating Nucleus. The SUSAN algorithms cover image noise filtering, edge finding and corner finding. For information on applying SUSAN nonlinear noise reduction to 3D images, see here.
The SUSAN principle is the basis for algorithms to perform edge detection, corner detection and structure-preserving image noise reduction. Papers on SUSAN have been published in BMVC92, ICPR96 and IJCV, and a patent has been granted. For a complete report on SUSAN either download the PostScript (susan.ps.gz - 1 Meg / susan.ps - 8 Megs) or view the html:
Low level image processing - title page
Note: the program is © Copyright 1995-1999, Defence and Evaluation Research Agency, UK. DERA has now become QinetiQ, who until recently held the patent on SUSAN, which now now lapsed.
You can also download my PGM format test image (test.pgm - 64K / test.pgm.gz - 1K). To find all features set t=10.