查询词典 unknown background

This text mainly is to panorama video frequency picture, the usage partitions new calculate way automatically according to the video frequency object of timespace consociation at preparing processing stage's ash to video frequency sequence degree diagram to carry on a partial contrast degree to strengthen a processing, increasing foreground object and the contrast degree of background, the filter which passes 3 ×s 3 templates filters in addition to contrast degree strengthen after of lead go into of a little amount 噪 voice;Then aim at the circumstance of complicated background, the calculate way in the text puts forward the covariance characteristic backlog which makes use of immediately signal to get the background that the calculate way needs, overcoming the irregularity that the handicraft obtains background, carrying out a background information to obtain automatically;The standpoint put forward a background backlog finally to categorize a discussion in the process, solved object stop sport time is longer result in the partition throw the problem for losing.

本文主要是对全景视频图像，运用基于时空联合的视频对象自动分割新算法，在预处理阶段对视频序列的灰度图进行局部对比度增强处理，增加前景物体与背景的对比度，通过3×3模板的滤波器滤除对比度增强后的引入的少量噪声；然后针对复杂背景的情况，文中的算法提出利用随即信号的统计特性积累得到算法所需的背景，克服手工获取背景的弊端，实现背景信息的自动获取；最后提出背景积累过程中分类讨论的观点，解决了物体停止运动时间较长时造成分割丢失的问题。

First scanning the known handwriting materials then number them ,In pretreatment, we convert the valid part of the image into a standard size, as images carries out duotone and go throw off chirp handling in order to achieve better effect.draw features from the known handwriting materials with the Co-occurence,especially,we divided a copy of handwriting into 25 little pieces with the size of 128*128 ,drawing features from every little piecese with four directions(0 degree, 45 degrees, 90 degrees as well as 135 degrees) and calculate the four major feature values( veins and the statistical quantity of veins contrast and the statistical quantity of veins consistency Shang the statistical quantity of statistical quantity as well as the veins correlation of gray scale ), preservation all the feature value that drawn from all known ma terials to the handwriting characteristic database,then input the unknown handwriting materials, also using the method of the Co-occurence to draw those features, recycling the minimum European Distance law match the unknown writing material feature value with the handwriting characteristic feature database, export the label of the known hand writing materials which is most similar to the unknown material with minimum European Distance, and then we can confirm who is the author of the unknown material.

首先将笔迹材料作为图象扫描输入，并对其进行编号。预处理部分可将笔迹图象的有效部分规范化到一个统一尺寸，接着对其进行二值化和去除噪声的处理，以便于更好的提取图像的特征。在此我们采用了灰度共生矩阵法提取手写笔迹材料的纹理特征，与以往有所不同的是，我们将一份手写材料分割成64块大小为80*80象素的子图象，每个小块都从四个方向（0度、45度、90度以及135度）来更全面的提取特征，并计算出四个最主要的特征值（纹理一致性的统计量、纹理反差的统计量、纹理熵的统计量以及纹理灰度相关性的统计量），将从所有已知材料提取的特征值保存到纹理特征库中，对于待检手写材料，同样采用灰度共生矩阵的方法提取其纹理特征，再利用最小欧氏距离分类法将从待检手写材料中提取的特征值与纹理特征库中的特征值进行比对，与欧氏距离比对值最小的相匹配，输出匹配成功的原材料的标号，进而识别出待检材料书写者的身份。

Then struggles is coming a secondary to die, dares to seek unknown and the challenge unknown always compared to dreads unknown with sinks confuses unknown, wants many several to divide nimble and resourceful and heroical!

那么就挣扎着来一次生死吧，敢于探求未知和挑战未知总比畏惧未知与沉迷未知，要多几分灵动和壮烈吧！

The preliminary chromatogram data were resolved with Mallat algorithm of wavelet analysis theory. This method that resetting the high frequency signals, reconstructing low frequency and then correcting the background signals in the original signal was to avoid the data skewness with negative digital points after background correction and achieve the baseline correction; according to the study and analysis of simulated data including curve background and real data of the needle-plate and free metal partials insulation defects, the method is effective; the best wavelet function of the background correction is Db5 and the best resolution times of the background correction is 8 for chromatogram data of SF_6 decomposition products, based on the calculation with different wavelet functions and resolution times.

在初步获取的气相色谱数据基础上，运用小波分析技术中的Mallat算法对色谱数据进行小波分解，采取将高频信号置零，重构低频背景信号，再用原始信号扣除背景信号的方法，并对背景信号进行纵向平移以避免扣除后出现负数据点造成色谱峰失真的题目及达到色谱图基线校正的目的；通过对含曲线背景信号的模拟色谱数据和针-板、自由金属微粒缺陷下的真实数据的计算研究表明，该方法的应用是有效的；并通过对不用小波函数和不同分解次数的背景扣除计算，确定了SF_6气体放电分解组分色谱背景扣除所选用的最佳小波函数为Db5小波和最佳分解次数为8次。

The motionless backgroup situation usually happens at the video camera parked to opposite quiescent condition , the first wipe off yawp by using pretreatment method,the second using the method of difference Statistic in two frame to analyse and compute background , Above this base to utilize the resumeed background and present frame message detect movement target and it"s movement track ; In dynamic backgroup movement image,it is very difficult to exactly compute ground since the background is varied complexly , the article research the optical flow model、 background model、 moving object detection based on entropy,and depart target from background in movement picture , detect moving target and plain it"s track.

静止背景的情况通常发生在摄像机相对静止状态，首先用预处理的方法去除噪声，其次采用帧间差分统计的方法进行分析计算背景，在此基础之上利用恢复的背景及当前帧的信息检测运动目标及其运动轨迹；对于动态背景的运动图像，由于背景是不断变化且呈现出复杂的特征，因此很难准确求出静止背景，本文在光流矢量场和配准方法的基础上探讨研究了光流模型、背景模型和基于熵的方法，在动态图像上分离不同的目标与背景，直接检测出运动目标并画出相应的轨迹。针对运动图像的复杂性，本文提出了构建模型知识库的设想。

The driving force that the astronomy develops, has been it is people to make cautious inquiries about to unknown object's in that boundless firmament , I have been looking up at that skyful array of stars always with sacred state of mind , there has been full of infinite profound mystery , it has been calling up people arousing our impulsion to the unknown world exploration to far boundless the unknown world thought.

天文学发展的动力，就是人们对那无边的苍穹中的未知事物的探询，我总是以神圣的心情仰望着那满天繁星，那里充满了无穷的奥秘，它唤起人们对未知世界的无限遐思，激发我们对未知世界的探索的冲动。。。。。。。

Microscopic characteristics of cladded crystal fiber are analyzed by X-ray diffraction, Laue X-ray diffraction and scanning electron microscopy, it is found that magnesium-ion indiffusion does not affect the single crystal structure and the domain structure of the magnesium diffused crystal fiber. It is found for the first time that MgO-rich layer in the magnesium diffused LiNbO〓 surface layer exhibits the crystal structure of an unknown compound from the Li-Mg-Nb-O ternary system and MgNb〓O〓. It is proposed for the first time that this unknown compound and MgNb〓O〓 in MgO-rich layer are the real sources of magnesium-ion indiffusion LiNbO〓. Their appearance indicate that MgNb〓O〓 is in the surface layer of MgO-rich layer, the unknown compound is in the subsurface layer and beneath where the MgNb〓O〓 is located, and these compounds have obviously preferred orientation.

通过镁离子内扩散法，首次在国内实现了具有阶跃和抛物折射率分布的c轴LiNbO〓单晶光纤和a轴Nd：MgO：LiNbO〓单晶光纤的芯—包层波导结构，为我国在该项目的研究填补了空白；建立了晶纤损耗的测量系统，提出了利用单模石英光纤作为晶纤入射光耦合器的思想；通过对晶纤损耗的测量，得到了包层晶纤比未包层晶纤损耗降低约14倍的好结果，并实现了低次模传输：对经镁离子内扩散实现包层后的晶纤的微观特性，利用X射线衍射，劳厄照相和扫描电镜表征发现，晶纤并不因镁离子的内扩散而影响其单晶结构和镁的扩散层畴的变化。

The water resources change is a leading factor in the vegetation degeneration there; The swamp vegetation was based on the background of large-scale lakes and rivers; the halophyte meadow was based on the background of dry lakes and riverside, and desert vegetation was based on the background of desert; desert vegetation was based on the background of desert at present.

水资源的变化是决定当地植被退化的主导因子，在大面积湖泊、河流背景上是沼泽植被，在干涸湖泊、河床背景上的是盐生草甸植被，在沙质荒漠背景上的是荒漠植被。

By comparing the common edge detection algorithms, the magniloquent Kirsch edge detection algorithm is selected to process the result of background subtraction. The result of edge detection is denoised by mathematical morphology method. Shadow edge restrained arithmetic and detection-line-based background updating method are presented. Shadow edge restrained arithmetic reduces vehicle shadow edge efficaciously. Background updating precision is improved by presented background updating method.

在处理过程中，对常用的背景差方法进行了改进，有效的保留了车辆目标信息；通过对常用的边缘检测方法比较，选用了突出边缘的Kirsch边缘检测方法对背景差后的图像进行了边缘检测；使用形态除噪算法对边缘检测的结果进行了噪声去除；提出了阴影边缘去除算法和基于检测线的背景更新方法，阴影边缘去除算法有效的抑制了车辆阴影边缘，背景更新方法则提高了背景更新的精度。

In this method, all stable sub-intervals in the training sequence were located for each pixel as possible background. Then a classify data set was constructed by the median values of each subinterval. A background subset was obtained from the data set by unsupervised clustering. Accordingly the initialized background was obtained from the background subset.

首先利用滑动可变窗口检测每个像素的所有不重叠平滑子序列，获取可能背景；然后选择每个平滑子序列的中值样本点构建分类序列集，根据未知类别的无监督聚类识别思想获取背景子集，实现背景初始化。

It is like a mustard seed, which a man took and planted in his garden.

好像一粒芥菜种，有人拿去种在园子里，长大成树，天上的飞鸟宿在他的枝上。

The increase in narcissism was stronger for women than for men in both datasets.

在自我陶醉的增加是更有力的比这两个数据集男性。