LIU Guang-yu1, BIAN Hong-yu1, SHEN Zheng-yan1, et al. Research on spectral clustering met algorithm of sonar image denoising in morphological wavelet domain[J]. 2011, 30(10): 41-43.
LIU Guang-yu1, BIAN Hong-yu1, SHEN Zheng-yan1, et al. Research on spectral clustering met algorithm of sonar image denoising in morphological wavelet domain[J]. 2011, 30(10): 41-43. DOI: 10.13873/j.1000-97872011.10.027.
Aiming at the serious noise pollution problems in sonar image
spectral clustering algorithm is introduced into denoising method based on morphological wavelet in order to realize image denoising with low SNR.Sonar image denoising method based on morphological midpoint wavelet is given.The concept of spectral clustering is introduced and used for the classification of high-frequency wavelet coefficients after morphological midpoint wavelet decomposition because of its fast data classification features.The wavelet coefficients including noise and detail signal can be separated.After being seperated
the two kinds of wavelet coefficients are respectively and corresponding processed.The denoised image can be obtained by the reconstruction of low-frequency wavelet coefficients.The simulation experiments show that the proposed method are better than other wavelet denoising methods and the feasibility and effectiveness of the proposed method are verified.
Unsupervised segmentation using a self-organizing map and a noise model estimation in sonar imagery [J] . K.C. Yao,M. Mignotte,C. Collet,P. Galerne,G. Burel. Pattern Recognition . 2000 (9)