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Image edge detection based on nonsubsampled contourlet transform and mathematical morphology 被引量:1
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作者 何坤贤 王庆 +1 位作者 肖彦昌 王晓兵 《Journal of Southeast University(English Edition)》 EI CAS 2012年第4期445-450,共6页
A novel algorithm for image edge detection is presented. This algorithm combines the nonsubsampled contourlet transform and the mathematical morphology. First, the source image is decomposed by the nonsubsampled conto... A novel algorithm for image edge detection is presented. This algorithm combines the nonsubsampled contourlet transform and the mathematical morphology. First, the source image is decomposed by the nonsubsampled contourlet transform into multi-scale and multi-directional subbands. Then the edges in the high-frequency and low-frequency sub-bands are respectively extracted by the dualthreshold modulus maxima method and the mathematical morphology operator. Finally, the edges from the high- frequency and low-frequency sub-bands are integrated to the edges of the source image, which are refined, and isolated points are excluded to achieve the edges of the source image. The simulation results show that the proposed algorithm can effectively suppress noise, eliminate pseudo-edges and overcome the adverse effects caused by uneven illumination to a certain extent. Compared with the traditional methods such as LoG, Sobel, and Carmy operators and the modulus maxima algorithm, the proposed method can maintain sufficient positioning accuracy and edge details, and it can also make an improvement in the completeness, smoothness and clearness of the outline. 展开更多
关键词 image edge detection nonsubsampled contourlet transform NSCT modulus maxima DUAL-THRESHOLD mathematical morphology structural elements
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Spectral matching algorithm based on nonsubsampled contourlet transform and scale-invariant feature transform 被引量:4
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作者 Dong Liang Pu Yan +2 位作者 Ming Zhu Yizheng Fan Kui Wang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2012年第3期453-459,共7页
A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low freq... A new spectral matching algorithm is proposed by us- ing nonsubsampled contourlet transform and scale-invariant fea- ture transform. The nonsubsampled contourlet transform is used to decompose an image into a low frequency image and several high frequency images, and the scale-invariant feature transform is employed to extract feature points from the low frequency im- age. A proximity matrix is constructed for the feature points of two related images. By singular value decomposition of the proximity matrix, a matching matrix (or matching result) reflecting the match- ing degree among feature points is obtained. Experimental results indicate that the proposed algorithm can reduce time complexity and possess a higher accuracy. 展开更多
关键词 point pattern matching nonsubsampled contourlet transform scale-invariant feature transform spectral algorithm.
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Directional Filter for SAR Images Based on Nonsubsampled Contourlet Transform and Immune Clonal Selection 被引量:3
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作者 Xiao-Hui Yang Li-Cheng Jiao Deng-Feng Li 《International Journal of Automation and computing》 EI 2009年第3期245-253,共9页
A directional filter algorithm for intensity synthetic aperture radar (SAR) image based on nonsubsampled contourlet transform (NSCT) and immune clonal selection (ICS) is presented. The proposed filter mainly foc... A directional filter algorithm for intensity synthetic aperture radar (SAR) image based on nonsubsampled contourlet transform (NSCT) and immune clonal selection (ICS) is presented. The proposed filter mainly focuses on exploiting different features of edges and noises by NSCT. Furthermore, ICS strategy is introduced to optimize threshold parameter and amplify parameter adaptively. Numerical experiments on real SAR images show that there are improvements in both visual effects and objective indexes. 展开更多
关键词 Directional filter nonsubsampled contourlet transform (NSCT) immune clonal selection optimization (ICSO) syntheticaperture radar (SAR).
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Infrared and Visible Image Fusion Based on Region of Interest Detection and Nonsubsampled Contourlet Transform 被引量:17
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作者 刘欢喜 朱天竑 赵佳佳 《Journal of Shanghai Jiaotong university(Science)》 EI 2013年第5期526-534,共9页
In order to enhance the contrast of the fused image and reduce the loss of fine details in the process of image fusion,a novel fusion algorithm of infrared and visible images is proposed.First of all,regions of intere... In order to enhance the contrast of the fused image and reduce the loss of fine details in the process of image fusion,a novel fusion algorithm of infrared and visible images is proposed.First of all,regions of interest(RoIs)are detected in two original images by using saliency map.Then,nonsubsampled contourlet transform(NSCT)on both the infrared image and the visible image is performed to get a low-frequency sub-band and a certain amount of high-frequency sub-bands.Subsequently,the coefcients of all sub-bands are classified into four categories based on the result of RoI detection:the region of interest in the low-frequency sub-band(LSRoI),the region of interest in the high-frequency sub-band(HSRoI),the region of non-interest in the low-frequency sub-band(LSNRoI)and the region of non-interest in the high-frequency sub-band(HSNRoI).Fusion rules are customized for each kind of coefcients and fused image is achieved by performing the inverse NSCT to the fused coefcients.Experimental results show that the fusion scheme proposed in this paper achieves better efect than the other fusion algorithms both in visual efect and quantitative metrics. 展开更多
关键词 image fusion region of interest(RoI) detection saliency map nonsubsampled contourlet transform(NSCT)
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Fusion of Remote Sensing Images Based on Nonsubsampled Contourlet Transform and Region Segmentation
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作者 吴一全 吴超 吴诗婳 《Journal of Shanghai Jiaotong university(Science)》 EI 2011年第6期722-727,共6页
The purpose of remote sensing images fusion is to produce a fused image that contains more clear,accurate and comprehensive information than any single image.A novel fusion method is proposed in this paper based on no... The purpose of remote sensing images fusion is to produce a fused image that contains more clear,accurate and comprehensive information than any single image.A novel fusion method is proposed in this paper based on nonsubsampled contourlet transform(NSCT) and region segmentation.Firstly,the multispectral image is transformed to intensity-hue-saturation(IHS) system.Secondly,the panchromatic image and the component intensity of the multispectral image are decomposed by NSCT.Then the NSCT coefficients of high and low frequency subbands are fused by different rules,respectively.For the high frequency subbands,the fusion rules are also unalike in the smooth and edge regions.The two regions are segregated in the panchromatic image,and the segmentation is based on particle swarm optimization.Finally,the fusion image can be obtained by performing inverse NSCT and inverse IHS transform.The experimental results are evaluated by both subjective and objective criteria.It is shown that the proposed method can obtain superior results to others. 展开更多
关键词 image fusion multispectral remote sensing image panchromatic image nonsubsampled contourlet transform(NSCT) particle swarm optimization(PSO)
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Improved image enhancement method for flotation froth image based on parameter extraction 被引量:4
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作者 李建奇 阳春华 +1 位作者 朱红求 魏利君 《Journal of Central South University》 SCIE EI CAS 2013年第6期1602-1609,共8页
Froth image could strongly indicate the production status in mineral flotation process.Considering low contrast and sensitivity to noises and illumination of froth images in flotation cells,an improved image enhanceme... Froth image could strongly indicate the production status in mineral flotation process.Considering low contrast and sensitivity to noises and illumination of froth images in flotation cells,an improved image enhancement algorithm based on nonsubsampled contourlet transform (NSCT) and multiscale Retinex algorithm has been proposed.Nonsubsampled contourlet transform was firstly adopted to decompose the flotation froth images,ensure signals invariance and avoid the blurring edge.Secondly,a multiscale Retinex algorithm was used to enhance the lower frequency image and improve the brightness uniformity.Adaptive classification method based on Bayes atrophy threshold was proposed to eliminate noise,preserve strong edges,and enhance weak edges of band-pass sub-band images.Experiment shows that the proposed method could enhance the edge,contour,details and curb noise,and improve visual effects.Under-segmentation caused by noise and blurring edge has been solved,which lays a foundation for extracting foamy morphological flotation froth and analyzing grade. 展开更多
关键词 froth image image enhancement nonsubsampled contourlet transform (NSCT) Retinex algorithm THRESHOLD
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Noise Reduction of Welding Defect Image Based on NSCT and Anisotropic Diffusion 被引量:4
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作者 吴一全 万红 +1 位作者 叶志龙 刚铁 《Transactions of Tianjin University》 EI CAS 2014年第1期60-65,共6页
In order to reduce noise effectively in the welding defect image and preserve the minutiae information, a noise reduction method of welding defect image based on nonsubsampled contourlet transform(NSCT) and anisotropi... In order to reduce noise effectively in the welding defect image and preserve the minutiae information, a noise reduction method of welding defect image based on nonsubsampled contourlet transform(NSCT) and anisotropic diffusion is proposed. Firstly, an X-ray welding defect image is decomposed by NSCT. Then total variation(TV) model and Catte_PM model are used for the obtained low-pass component and band-pass components, respectively. Finally, the denoised image is synthesized by inverse NSCT. Experimental results show that, compared with the hybrid method of wavelet threshold shrinkage with TV diffusion, the method combining NSCT with P_Laplace diffusion, and the method combining contourlet with TV model and adaptive contrast diffusion, the proposed method has a great improvement in the aspects of subjective visual effect, peak signal-to-noise ratio(PSNR) and mean-square error(MSE). Noise is suppressed more effectively and the minutiae information is preserved better in the image. 展开更多
关键词 welding defect detection noise reduction nonsubsampled contourlet transform total variation model Catte_PM model
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A Novel Algorithm for Microcirculation Image Enhancement
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作者 LI Hong-jun ZHAO Zhi-min JI Lei ZHANG Lin 《Chinese Journal of Biomedical Engineering(English Edition)》 2010年第3期114-120,共7页
Microcirculation images often have low quality in acquisition process, which affect the following steps of process. This paper introduces enhancement algorithm based on nonsubsampled Contourlet transform (NSCT). It an... Microcirculation images often have low quality in acquisition process, which affect the following steps of process. This paper introduces enhancement algorithm based on nonsubsampled Contourlet transform (NSCT). It analyzes the characteristics of the microcirculation images generated, and separates microcirculation images to light weight and the reflection weight. It also analyzes the construction method on NSCT and proves that this method can be applied on microcirculation image enhancement algorithm. To correct light weight of microcirculation image and obtain enhancement image the enhancement microcirculation image was not only superior to the original image visually, but also improved objective data obviously. The algorithms provide a new method to microcirculation image pre-processing and guide the latter steps of the image processing. 展开更多
关键词 image enhancement microcirculation image nonsubsampled contourlet transform
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