基于交叉累计剩余熵的图像配准中插值方法的改进
交叉累计剩余熵（CCRE）比传统互信息在配准强噪声图像时更具优势,但采用部分体积（PV）插值的CCRE在网格点容易产生局部极值,不利于变换参数的优化。针对该问题,研究基于3阶B样条函数的PV插值（BPV）、哈宁窗sinc函数的PV插值（HPV）和Blackman-Harris窗sinc函数的PV插值（BHPV）方法在CCRE中的应用,提出一种新的插值方法。该方法采用灵活的邻域中心,将插值点对联合直方图贡献的权重分散到临近的9个点上,并使用高斯函数作为PV插值的核函数,避免权重突变。实验结果表明,与BPV,HPV和BHPV插值方法相比,
Improved cross cumulative residual entropy (CCRE) image registration interpolation method based on cross cumulative residual entropy of information advantage when strong noise image registration than traditional mutual, but with partial volume (PV) grid point interpolation CCRE prone to local extreme, is not conducive to transformation parameter optimization. To solve this problem, based on 3-order B-spline interpolation function PV (BPV), Hanning window sinc interpolation function PV (HPV) and Blackman-Harris window sinc interpolation function PV (BHPV) Application of CCRE, a new interpolation method. The method uses a flexible center of the neighborhood, the interpolation point joint histogram contribution weights dispersed to nine points nearby and use the Gaussian function as a PV interpolation kernel function, avoid weight changes. Experimental results show that compared with BPV, HPV and BHPV interpolation method, (2017-03-05, PDF, 319KB, 下载3次)
为了检测红外图像序列中的运动人体，提出了一种基于最大后验概率
（MAP）-马尔可夫随机场（MRF）模型和亮度-距离联合直方图的人体实时检测
方法。该方法首先建立图像序列时空域联合的概率分布模型，采用基于 MAP-MRF
模型的前景检测方法得到可能为人体的感兴趣区域（ROI）。然后在以 ROI 中心点
为圆心的各个圆环域中统计其亮度信息，构建基于亮度-距离联合空间的分类特
征。最后，采用支持向量机（SVM）分类器对候选区域进行分类检测。不同红外
图像序列的实验结果均表明，本文提出的算法具有较好的鲁棒性和实时性
Research on Human Detection and Tracking
in Infrared Images
(2012-09-24, PDF, 1966KB, 下载19次)
针对标准均值滤波存在的问题,提出自适应均值滤波算法。算法首先计算窗口的四阶累积量和二阶中心矩并确定噪声
点阈值 然后根据窗口内噪声点个数自适应调整滤波窗口,自适应计算权值 最后对噪声点逐点滤波。该方法既能有效去除图
像噪声点,又能较好保持图像细节。论文最后给出实验和分析,结果表明该方法是有效的
Standard mean filter exists, adaptive mean filtering algorithms. The algorithm calculates the window of the fourth-order cumulants and the second central moment and to determine the threshold of the noise points then adjust the filter window, adaptive weights are calculated according to the number of window noise adaptive final point-by-point filtering noise. The method can effectively remove the image noise point, but also better preserving image detail. Finally, given the experimental and analytical results show that the method is effective (2012-08-28, PDF, 2039KB, 下载17次)
非均匀采样对偏置相位中心多波束SAR性能影响的分析.pdf
Analysis on the Non-uniform Sampling of Displaced
Phase Center Multiple-beam SAR Systems (2012-08-26, PDF, 307KB, 下载13次)
本文
通过位平面分解法分割天空区域并运用椭圆最小二乘法拟合日周光散射光圈,并自动确定日周光的中心,将中心点的亮度与天空区域平均亮度的加权值作为最终提取的天空亮度值 最后运用大气散射模型对雾天降质图像进行复原
In t his paper , we segment t he sky area by bit2plane decomposition , and fit
circadian light scat tering ring using elliptical least squares , which could automatically determine t he cent ral
brightness of the sky. Then we weight t his cent ral brightness value wit h t he average bright ness value of the
segmented sky region as t he final sky region brightness. Finally , we use t he fog atmosp heric scattering model
to recover degraded images. (2012-03-09, PDF, 478KB, 下载23次)
从回波中估计多普勒参数是合成孔径雷达运动补偿的关键。文中研究了多目标回波对参数估计的影响，从理论上推导了估计多普勒中心和调频率对回波的不同要求，并用两个指标举例分析了一段实测机载SAR数据，给出了实际应用中参数估计时选择回波的原则。
Doppler parameters estimation from radar echoes is a key step in SAR(Synthetic Aperture Radar}motion cornpensation．
This paper researched the efect of multiple targets echoes to estimate parameters and deducted theoretically the different
requirement for echoes in estimating doppler centroid and doppler frequency modulation rate．Th en giving a real airborne SAR echo
as example，we analyzed it with two measurements and concluded the principle about choosing echoes in practice． (2009-07-07, PDF, 183KB, 下载113次)
用Hough变换提高激光光斑中心定位精度的算法，模式识别的算法，图像图像处理的应用实例
Use Hough transform to improve the positioning accuracy of laser spot center algorithms, pattern recognition algorithms, Image image processing application (2009-05-22, PDF, 47KB, 下载71次)