Title :
SAR images segmentation using edge information
Author :
Al-Zahrani, Rahma A. ; El-Zaart, Ali
Author_Institution :
Dept. of Comput. Sci., King Saud Univ., Riyadh, Saudi Arabia
Abstract :
In this paper a new segmentation method for SAR images is presented which requires applying edge detector such as Sobel, Robert, Prewitt, or canny. Then, use edge information in order to estimate the threshold values required for image segmentation. Segmenting SAR images with low contrast using the proposed method was very satisfactory and the obtained results are very promising.
Keywords :
edge detection; image segmentation; radar imaging; synthetic aperture radar; SAR image segmentation; edge detector; edge information; synthetic aperture radar; threshold value estimation; Computer science; Detectors; Histograms; Image edge detection; Image resolution; Image segmentation; Laplace equations; Radar imaging; Speckle; Synthetic aperture radar; SAR images; edge detection; segmentation;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485450
