Title :
A ratio edge detector for speckled images based on maximum strength edge pruning
Author :
Ganugapati, S.S. ; Moloney, C.R.
Author_Institution :
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada
Abstract :
This paper presents an edge detection method which is well-suited to determining accurate and localized edge maps for speckled images. The maximum strength edge pruning ratio of averages (MSP-RoA) method is a ratio-based edge detector which makes effective use of edge orientation information in pruning candidate edge pixels. The method is compared to other speckle-specific edge detection methods. Test results of the MSP-RoA method for simulated speckled images and for airborne synthetic aperture radar (SAR) images are presented
Keywords :
airborne radar; edge detection; radar imaging; speckle; synthetic aperture radar; MSP-RoA method; SAR images; airborne synthetic aperture radar images; edge detection method; edge orientation information; localized edge maps; maximum strength edge pruning; maximum strength edge pruning ratio of averages; ratio edge detector; speckled images; Detectors; Image edge detection; Image registration; Image segmentation; Pixel; Radar detection; Signal processing; Speckle; Synthetic aperture radar; Testing;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537440
