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Smooth cutting pattern generation technique for membrane structures using geodesic line on subplane and spline interpolation 被引量:1
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作者 SHON Su-deok LEE Seung-jae LEE Kang-guk 《Journal of Central South University》 SCIE EI CAS 2013年第11期3131-3141,共11页
Practical techniques for smooth geodesic patterning of membrane structures were investigated.For the geodesic search,adjustment of the subplane of the extracted elements series was proposed,and various spline approxim... Practical techniques for smooth geodesic patterning of membrane structures were investigated.For the geodesic search,adjustment of the subplane of the extracted elements series was proposed,and various spline approximation methods were used to flatten the strip for the generation of a smooth pattern.This search approach is very simple,and the geodesic line could be easily attained by the proposed method without the need for a difficult computation method.Smooth cutting patterning can also be generated by spline approximation without the noise in discrete nodal information.Additionally,the geodesic cutting pattern saved about 21%of the required area for the catenary model due to the reduction of the curvature of the planar pattern seam line. 展开更多
关键词 membrane structures cutting pattern generation geodesic line spline interpolation triangular mesh sub-plane
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基于改进的Hessian和Live-wire算法的岩石节理裂隙检测 被引量:3
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作者 王艳 李晗 +5 位作者 陈佳悦 陈卫卫 王梦菲 闫迪 李宏霞 王卫星 《金属矿山》 CAS 北大核心 2023年第8期265-271,共7页
在图像处理中,由于岩石节理裂隙是最复杂的线状目标之一,针对该对象的检测算法的研究一直是一个难题。故此,研究了一种新的跟踪裂隙边缘线的算法。首先,若图像尺寸太大,进行有选择的图像缩小,然后采用基于Geodesic Shadow Removal的算... 在图像处理中,由于岩石节理裂隙是最复杂的线状目标之一,针对该对象的检测算法的研究一直是一个难题。故此,研究了一种新的跟踪裂隙边缘线的算法。首先,若图像尺寸太大,进行有选择的图像缩小,然后采用基于Geodesic Shadow Removal的算法进行图像平滑,再用一种基于Hessian矩阵算法增强模糊及微细节理裂隙;用一种基于Live-wire Contour思想的节理裂隙边缘线特征点提取的算法进行边缘特征点提取;最后基于特征点之间的距离及相应线段夹角来连接特征点以形成完整的线段。选择了200幅图像进行实验,通过与十多种传统和新近的算法相比,新算法能够在复杂的岩石节理裂隙图像中,准确快速地提取节理裂隙边缘线,为在该领域引进深度学习等方法奠定基础。 展开更多
关键词 岩石节理裂隙 Live-wire geodesic shadow HESSIAN
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Stochastic Contrast Measures for SAR Data: A Survey
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作者 Alejandro C.Frery 《雷达学报(中英文)》 CSCD 北大核心 2019年第6期758-781,共24页
“Contrast”is an generic denomination for“difference”.Measures of contrast are a powerful tool in image processing and analysis,e.g.,in denoising,edge detection,segmentation,classification,parameter estimation,chan... “Contrast”is an generic denomination for“difference”.Measures of contrast are a powerful tool in image processing and analysis,e.g.,in denoising,edge detection,segmentation,classification,parameter estimation,change detection,and feature selection.We present a survey on techniques that aim at measuring the contrast between(i)samples of SAR imagery,and(ii)samples and models,with emphasis on those that employ the statistical properties of the data. 展开更多
关键词 CONTRAST DIVERGENCE ENTROPY geodesic distance STATISTICS Synthetic Aperture Radar(SAR)
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