Title :
An Approximate Finite Ridgelet Transform Algorithm for SAR Image Segmentation
Author :
Li, Ying-qi ; He, Ming-yi ; Li, Cun-xing
Author_Institution :
Coll. of Electron. Eng., Northwestern Polytech Univ., Xi´´an
Abstract :
The finite ridgelet transform proposed by Donoho has successful application in edge detection and segmentation of images with high-noise, but it has a drawback which is due to annoying "wrap-around" effect to the finite Radon transform. As a result, it may also produce "alias" edges and "holes" in the reconstructed image. In this paper, we present a new finite ridgelet transform based on the "natural straight line", which can overcome the above drawback and implement the inverse discrete Radon transform. At the last, we employ the proposed algorithm for segmenting the synthetic aperture radar (SAR) image and obtain satisfied segmentation result
Keywords :
Radon transforms; image segmentation; radar imaging; synthetic aperture radar; SAR image segmentation; edge detection; finite Radon transform; finite ridgelet transform algorithm; image reconstruction; inverse discrete Radon transform; natural straight line; synthetic aperture radar image; wrap-around; Continuous wavelet transforms; Discrete transforms; Discrete wavelet transforms; Hidden Markov models; Image edge detection; Image segmentation; Signal to noise ratio; Synthetic aperture radar; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345697
