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134results about How to "Effective noise" patented technology

Highway noise barrier

A highway noise barrier panel assembly has a base panel, sound-attenuating insulation located adjacent an exterior surface of the base panel and an insulation retaining structure to secure the insulation in fixed relation to the base panel. A noise barrier has at least two generally vertical support posts, at least one wall panel with sides attached to the support posts, sound-attenuating insulation located adjacent an exterior surface of the wall panel and an insulation retaining structure to secure the insulation in fixed relation to the base panel. Additionally, a noise barrier retrofit kit adapted to be attached to a wall surface is provided with at least two channel-defining members adapted to be mounted to the wall surface in generally parallel spaced apart relationship, so as to define an insulation receiving channel therebetween, sound-attenuating insulation adapted to be located in such channel and at least one insulation retaining structure adapted to be secured to the channel-defining members whereby to hold the insulation in place. Further, a noise barrier having a wall surface, at least two channel-defining members mounted to the wall surface in generally parallel spaced apart relationship, so as to define an insulation receiving channel therebetween, sound-attenuating insulation located in such channel and an insulation retaining structure secured to the channel-defining members whereby to hold the insulation in place is provided.
Owner:NUFORM BUILDING TECH

Natural image denoising method based on dictionary learning and block matching

The invention discloses a natural image denoising method based on dictionary learning and block matching, which mainly solves the problems that texture details are easily lost and homogenous areas are not smooth in the conventional natural image denoising. The method comprises the following steps of: (1) setting a denoising target function and inputting a noise-containing image z(x); (2) making an original image equal to the noise-containing image, namely y(x)=z(x), and making a dictionary D be a redundant discrete cosine transform (DCT) dictionary; (3) updating the atoms of the dictionary D and a corresponding coefficient matrix alphaij by using a kernel-singular value decomposition (KSVD) algorithm; (4) denoising the noise-containing image z(x) by using a block matching three-dimensional (BM3D) algorithm to acquire a primary denoising result; and (5) introducing the updated D and alphaij into the estimation formula of the original image to acquire the denoising result of the noise-containing image z(x). Compared with the conventional classic denoising method, the method achieves a better denoising effect and can be used for denoising a natural image; and the homogeneous area is smoothened, and the texture, the profile and the edge detail information of the image can be maintained at the same time.
Owner:XIDIAN UNIV

Fundus image vascular segmentation method based on phase congruency

The invention discloses a fundus image blood vessel segmentation method based on phase congruency and mainly overcomes the defect that a traditional method can not be used to accurately segment blood vessels in fundus images. The fundus image vascular segmentation method base on the phase congruency can be simultaneously used to segment small blood vessels of most tips. The method comprises the steps: (1) extracting green channels of the fundus images, (2) enhancing the contrast ratio of the images through contrast limited adaptive histogram equalization (CLAHE), (3) filtering the fundus images through the anisotropic coupled diffusion equation, (4) segmenting the blood vessels of the fundus images filtered or not filtered through the anisotropic coupled diffusion equation in a phase congruency algorithm, (5) multiplying pixel-levels of results of vessels, of two fundus images, segmented based on the phase congruency algorithm, (6) processing the images in a binaryzation mode through the iterative threshold segmentation method, (7) optimizing the images in the mathematical morphology method. The fundus image vascular segmentation method has significant application values in fields of three-dimensional splicing of the fundus images and judging existence of diabetes mellitus and severity of diabetes mellitus.
Owner:TIANJIN POLYTECHNIC UNIV
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