The Framework for Evaluation of Crater Detection Algorithms


  • Goran Salamunićcar
  • Sven Lončarić


  • Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia
  • AVL-AST d.o.o., Croatia

Project duration

The ongoing research project started in 2005 and resulted in one Ph.D. thesis (Dr. Goran Salamunićcar) and a number of research publications.

Short description

The results of this project are: (1) a method for crater detection using edge detection and gradient, modified Hough transform, morphometry measurements and analysis of topography and parameter space of Hough transform, slip-tuning, and calibration; (2) an improvement of crater detection utilizing a Crater Shape-based interpolation method that proved to be efficient for the detection of very small craters from the topographies of Mars and the Moon; (3) the framework for evaluation of crater detection algorithms (FECDA) including some of the most complete publically available crater catalogues.