共查询到18条相似文献,搜索用时 140 毫秒
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基于张量投票的图像去噪算法研究 总被引:1,自引:0,他引:1
针对传统的基于张量投票算法图像去噪过程中对于对称图像存在的张量叠加计算量冗余的问题,提出了张量投票域的改进算法。首先,利用基于相位信息的图像对称性检测方法对需要去噪的图像进行检测。然后,根据检测出的图像的对称性的特性简化投票域的区域。最后,将改进后的投票域应用在图像去噪过程中。实验仿真的结果表明,这里的方法不仅明显提高了图像的峰值信噪比,而且较好地保护了图像的细节信息,在算法的效率方面也有较明显的提高。 相似文献
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为了实现缺陷圆圆心与半径参数的检测,本文提出一种基于随机抽样与投票策略的检测方法。通过在目标轮廓上随机提取三点并由此获得任意两条弦,计算它们各自对应的垂直平分线的交点。重复上述过程可得到若干候选圆心坐标,应用投票策略检测出频数最高的坐标值,得到理想圆心。在此基础上再根据投票策略获取半径参数。仿真和实验结果表明,本文方法适应性强,鲁棒性好,可应用于不同类型缺陷圆检测;其检测结果准确可靠,易于实现,可以满足工程应用需求。 相似文献
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将人脸识别技术应用于电子投票系统中,限制重复投票行为.首先分析了该电子投票系统的结构,给出了人脸识别技术在限制重复投票行为中的应用场景.针对电子投票系统对人脸识别算法的需求以及投票人图像采集背景简单和光照变化较小的特点,分析了适用于本系统的基于AdaBoost的人脸检测方法以及基于特征脸的人脸识别方法,给出了通过OpenCV实现的基于人脸识别方法的身份认证子系统的设计流程,并介绍了基本投票子系统各模块的功能.最后对身份认证子系统的性能进行了分析. 相似文献
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基于椭圆曲线密码体制的投票协议 总被引:2,自引:0,他引:2
本文设计了一种基于椭圆曲线密码体制的投票协议,该协议的特点是能够使投票者在计算机网上进行无记名投票并可以有效地抵制各种欺骗行为,从而使安全选举成为可能。 相似文献
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密度峰聚类(DPC)算法采用点的密度与距离属性对数据进行划分。该算法对大多数数据集能获得较好的聚类结果。然而,对于存在交叉、重叠情况的数据集,DPC算法的最近邻居分配方法将造成较大误差。针对这一缺陷,本文考虑到数据点的大部分邻居属于相同的簇,提出一种多邻居投票的聚类方法。该方法采取多个邻居的投票结果来决定未知点的归属。数值实验表明,基于投票法的密度峰聚类算法在面对点分布存在交叉、重叠情况的数据集时优于DPC算法。 相似文献
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针对POF数据传输特点,提出了一种基于加权表决的全数字时钟数据恢复(CDR)方法.引入数据窗口,消除了传统数字CDR电路中存在的恢复时钟1/N UI峰峰抖动,运用加权表决恢复数据,增强了电路抗干扰能力.该方法基于FPGA通过单PLL实现了100Mb/s的POF数据传输.仿真和实验测试结果表明,该方法可快速同步相位变化,电路输入抖动容限可达0.28UI. 相似文献
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An adaptive tensor voting algorithm combined with texture spectrum is proposed. The image texture spectrum is used to get the adaptive scale parameter of voting field. Then the texture information modifies both the attenuation coefficient and the attenuation field so that we can use this algorithm to create more significant and correct structures in the original image according to the human visual perception. At the same time, the proposed method can improve the edge extraction quality, which includes decreasing the flocculent region efficiently and making image clear. In the experiment for extracting pavement cracks, the original pavement image is processed by the proposed method which is combined with the significant curve feature threshold procedure, and the resulted image displays the faint crack signals submerged in the complicated background efficiently and clearly. 相似文献
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Iterative tensor voting for perceptual grouping of ill-defined curvilinear structures 总被引:1,自引:0,他引:1
In this paper, a novel approach is proposed for perceptual grouping and localization of ill-defined curvilinear structures. Our approach builds upon the tensor voting and the iterative voting frameworks. Its efficacy lies on iterative refinements of curvilinear structures by gradually shifting from an exploratory to an exploitative mode. Such a mode shifting is achieved by reducing the aperture of the tensor voting fields, which is shown to improve curve grouping and inference by enhancing the concentration of the votes over promising, salient structures. The proposed technique is validated on delineating adherens junctions that are imaged through fluorescence microscopy. However, the method is also applicable for screening other organisms based on characteristics of their cell wall structures. Adherens junctions maintain tissue structural integrity and cell-cell interactions. Visually, they exhibit fibrous patterns that may be diffused, heterogeneous in fluorescence intensity, or punctate and frequently perceptual. Besides the application to real data, the proposed method is compared to prior methods on synthetic and annotated real data, showing high precision rates. 相似文献
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A Segment-based Tensor Voting (SBTV) algorithm is presented for planar surface detection and reconstruction of man-made objects. Our work is inspired by piecewise planar stereo reconstruction. During the vital procedure to detect and label the planar surface, the two main contributions are: first, tensor voting is used for obtaining the geometry attribute of the 3D points cloud. The candidate planar patches are generated through scene image segment of low variation of color and intensity. Second, we over-segment the scene image into the segment and the candidate 3D planar patch is generated. The SBTV algorithm is used on 3D points cloud sets to identify the co-plane on the candidate patch. After detecting every planar patch, the geometry architecture of object is obtained. The experiments demonstrate the effectiveness of our proposed approach on either outdoor or indoor datasets. 相似文献
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物理不可克隆函数(PUF:Physical Unclonable Function)是一种新型的加密组件,具有防伪、不可克隆及不可预测等特性。本文提出了一种新型的低成本PUF,与传统PUF相比更适用于无线射频识别(Radio Frequency Iden-tification,RFID)系统。该PUF结构主要由上电密钥生成器和混合函数两部分构成。上电密钥生成器由比特生成器阵列构成,混合函数则由低成本流加密算法构成,其作用是隐藏密钥生成器,以提高安全性。此外,本文还提出了择多模块和多寻认证协议来改善PUF响应及其在RFID系统中的稳定性。实验表明,该PUF的硬件成本低并且具有很好的稳定性,非常适用于RFID系统等资源受限的应用场合。 相似文献