The nonlocal (NL) means filter as a recent denoising approach has demonstrated its empirical merit for additive Gaussian noise. In this paper, a novel Bayesian nonlocal (BNL) means filter is derived, which is adapted ...
详细信息
A new non-local filter based on the sublook data correlation is proposed for the speckle suppression of multilook polarimetric synthetic aperture radar (PolSAR). Non-local techniques search for patches similar to the ...
详细信息
Aimed at the shortage of similar region capture and directional information obtainment for SAR image despeckling using conventional non-local means method (NLM), a new NLM SAR image despeckling method is proposed base...
详细信息
Aimed at the shortage of similar region capture and directional information obtainment for SAR image despeckling using conventional non-local means method (NLM), a new NLM SAR image despeckling method is proposed based on multiple different directional anisotropic Gaussian directional window and Stein unbiased risk estimation (SURE) aggregation. The ratio measurement strategy is utilized to compute the similarity of two patches and the NLM result is computed based on the anisotropic Gaussian windows with some direction. The results of NLM with different anisotropic Gaussian windows are aggregated by using the Stein unbiased risk estimation criterion to obtain the final SAR despeckling result. For multiple SAR images, the experiment results show that the new method has advantages in the SAR image despeckling performance, and can well preserve the local geometric structure information, which is essential for understanding and interpretation of SAR image.
Speckle filtering is a crucial procedure in polarimetric synthetic aperture radar (PolSAR) data processing. MLC is introduced into PolSAR speckle filtering by calculating the filtering coefficient based on the matrix ...
详细信息
Speckle filtering is a crucial procedure in polarimetric synthetic aperture radar (PolSAR) data processing. MLC is introduced into PolSAR speckle filtering by calculating the filtering coefficient based on the matrix log-cumulant (MLC) and using the non-local method for the first time. In the proposed method, a homogeneous region is selected based on non-local method, then the data are filtered using the MLC-based filter coefficient. The determinant of the coherence matrix is used in the calculation in both two steps. It is more reasonable than using the SPAN data or the principal diagonal elements in the coherence matrix. The comparison experiments illustrate that the proposed method can smooth the homogeneous region effectively. Meanwhile, the structure, texture and detail information of PolSAR image are better retained. And the polarimetric signature of the data is also well maintained.
A retinal vessel segmentation method based on Nonsubsampled Contourlet Transform(NSCT) is proposed. Due to the advantages of NSCT on multi-scale, multi-direction and translation invariance, it is very suitable for the...
详细信息
A retinal vessel segmentation method based on Nonsubsampled Contourlet Transform(NSCT) is proposed. Due to the advantages of NSCT on multi-scale, multi-direction and translation invariance, it is very suitable for the representation of line singularity of retinal vessel. This paper analyzes in detail the NSCT coefficient responses for the retinal vessel and give a simple and pixel-wised feature extraction algorithm. Then the extracted feature vectors are modeled with Gaussian Mixed Model (GMM) whose parameters are estimated using Expectation-Maximization(EM) algorithm. Finally, Bayesian rules are used for the supervised classification of vessel pixels and nonvessel pixels. Because the Contourlet basis function can capture anisotropic geometrical structures efficiently by multi-direction selection, the NSCT coefficients of line object are sparser but more accurate than those represented by wavelet transformation. So the proposed algorithm is potential to achieve good performance either in segmentation accuracy and vessel location. The method's performance is evaluated on publicly available DRIVE and STARE databases. Experimental results show that the proposed method achieves good performance in segmentation accuracy when compared with state-of-the-art approaches. On the other hand, the method can obtain better precision in vessel location and the low rate of false detection, which can effectively avoid the conglutination of the parallel vessels.
Malicious modification, deletion or addition of some modules in the integrated circuits (ICs) will cause the chip to be attacked, which is called Hardware Trojans (HTs). Reverse engineering (RE) is a classic destructi...
详细信息
Cluster based segmentation algorithms can effectively capture the structure of features so as to accurately determine the classes of objects, but they are difficult to make use of spatial information and edges in imag...
详细信息
In this paper, a novel approach is proposed for unsupervised change detection of multitemporal remote sensing images. The proposed method is able to produce the change detection result on the difference image without ...
详细信息
We have proposed multi-objective Gene Expression Programming (GEP) based automatic clustering method (do not need prior knowledge), which is denoted as MOGEPC. In our algorithm, we adopt GEP based multi-objective opti...
详细信息
In this paper, Reversible logic circuit synthesis is formulated as a quantum cost-minimization problem with equality constraint. A new reference-point based evolutionary multi-objective method R-EMO-RLC is specially d...
详细信息
暂无评论