Robust edge detector based on morphological filters

Abstract A new edge detector based on Alternating Sequential Filters (ASF) is presented and analyzed. The performance of the edge detector in the presence of noise is evaluated and is compared to the performance of well established morphological edge detectors [3,4]. Experimental results show that the new edge detector performs better than standard morphological methods.