Title :
Robust edge detector based on morphological filters
Author :
Song, Xudong ; Neuvo, Yrjö
Author_Institution :
Signal Process. Lab., Tampere Univ. of Technol., Finland
Abstract :
A new edge detector based on alternating sequential filters (ASF) is presented and analyzed. The performance of ASF edge detector in the presence of noise is evaluated and is compared to the performance of well established morphological edge detectors. Experimental results show that ASF edge detector performs better than blurminimization edge detector and ATM edge detector
Keywords :
filtering and prediction theory; noise; picture processing; ASF; alternating sequential filters; edge detector; morphological filters; noise; robustness; Detectors; Filters; Image coding; Image edge detection; Inspection; Laboratories; Multidimensional signal processing; Noise robustness; Robotics and automation; Signal analysis;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184353
