- 更多网络例句与背景图像相关的网络例句 [注：此内容来源于网络，仅供参考]
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It developed for military affairs first in Occident .It utilizes the characteristic of NUV spectrum (240-280nm) that UV spectrum of object is much greater than that of solar radialization in the aerosphere. Double spectrums imaging system gets UV and visible images to identify the object and background. Image infusion is a essential step of succedent image processing.
它利用中紫外区的"日盲"(240—280nm的中紫外)特性，即目标发出的紫外线远远强于太阳的紫外辐射，通过双光谱图像检测系统观察和检测该波段的紫外目标信号与背景可见光图像，并利用图像配准与融合技术，把紫外光图像准确地定位于背景图像，形成合成图像达到检测目的。
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The digital image generating method was simulated based on CCD and optical system parameter, results show that the method can generate a star map with higher apparent magnitude (magnitude＞10) and can satisfy the requirements of space object detection and surveillance for star map.
结果表明，该方法可生成较大星等(星等＞10)的星空背景图像，基本满足了现有空间目标检测与跟踪算法对星空背景数据的要求。标签空间监视星空背景星等数字图像成像灰度值 space surveillance star map star magnitude imaging gray value
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First, it was to obtain two binary images from segmenting image by two thresholds. Second, erosion, opening and closing were done to the two images according to some knowledge of the shape and location of the objects in the image that we have already known. Last, the edge information from the image segmented by a high threshold was put into the image segmented by a low threshold. It is the way to segment and discern circular objects accurately from the complex image and can greatly improve the accuracy rate of discerning.
首先分别根据两个阈值进行分割得到两幅二值图像，然后根据目标是圆形以及其大致位置等先验知识分别对两幅图进行腐蚀，开启，闭合等数学形态学运算，将高阈值分割得到的图像中的边界信息叠加到低阈值分割得到的图像中，实现对复杂背景图像中圆形物体的准确分割与提取，解决了复杂背景图像中物体识别率低的问题。
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A fast extraction method of beer bottle rasied character is introduced in this paper. It is the technique combination of moving target tracking based on dynamic image sequence with edge detection algorithm for speeding up the processing of character extraction to meet the demand of on-line detection in industry. First dynamic image sequence is obtained with an area CCD camera, and the background frames are detected based on the coherence between the background and character image from the video and inevitability of background frames emergence.
运用基于动态图像序列的运动目标跟踪技术，结合图像边缘提取理论中的检测算子模板，提出了一种快速提取啤酒瓶凸性字符的方法：首先采用单个面阵CCD得到啤酒瓶字符的运动图像序列，然后利用背景在运动图像序列中的镜头突变性和出现的必然性，检测视频流中的背景帧，最后采用基于边缘检测的背景配准方法，得到运动图像和校正背景图像的差分图像，恢复出真正的运动物体。
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The paper analyzes the electrical corona phenomena, its effect to high_voltage transmission system and present detecting technology. It puts forward a double spectrums imaging system based on spectrum characteristic of electrical corona. It is all-weather and independent of environment radialization and temperature effect. It responds fast and can work in move .Two light ways image for a scene respectively: one way is UV image ,the other is visible image. Then we use image registration and infusion synthetically to form a complex image .The theory and methods of image infusion is explained.
论文基于电晕放电的光谱特性，针对现有电晕放电检测手段的优缺点，提出了一种全天候、不受环境辐射和温度影响、响应速度快、可进行航拍的双光谱图像检测方法：两个光路分别对同一场景成像，一路是紫外图像，一路是可见光图像，综合利用图像配准与融合技术，形成合成图像，在合成的图像中保留每个传感器所获取的重要信息，图像里既有紫外光源，也有可见光背景图像。
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It developed for military affairs first in Occident .It utilizes the characteristic of NUV spectrum (240-280nm) that UV spectrum of object is much greater than that of solar radialization in the aerosphere. Double spectrums imaging system gets UV and visible images to identify the object and background. Image infusion is a essential step of succedent image processing.
它利用中紫外区的&日盲&(240—280nm的中紫外)特性，即目标发出的紫外线远远强于太阳的紫外辐射，通过双光谱图像检测系统观察和检测该波段的紫外目标信号与背景可见光图像，并利用图像配准与融合技术，把紫外光图像准确地定位于背景图像，形成合成图像达到检测目的。
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A new self-adaptive background approximating and updating algorithm based on optical flow theory is first presented in this paper.
在光流场等技术的基础上，提出了一种自适应背景逼近更新方法，以适应光线的变化以及噪声的影响；根据彩色差值模型计算当前帧图像和当前逼近背景图像的差分图像；并引入Gauss模型实现了运动目标的自适应阈值分割。
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Choosing fit picture as background picture in whole picture preface row, adopting picture matrix difference to do away with the object such as machine hull and ruler, then attaining picture with only seeds.
在整个图像序列中挑选合适的帧图像作为背景图像，运用图像矩阵差分去除排种器壳和标尺等对象，再将差分矩阵变换成只含种子的图像。
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By means of equalizing the histogram, the contrast of original thermal image is enhanced; then image region of the disc surface of insulator is intercepted manually; through the envelope of the smoothened histogram of thermal image the segmentation threshold is extracted and the morphological filtering is applied to the threshold- segmented binarized image to obtain insulator disc surface image and background image, and then 10 infrared image features of insulator disc surface image and background image, such as the highest temperature, the lowest temperature, mean temperature, variance of temperature distribution of both kinds of images, as well as maximum temperature rise and mean temperature rise of insulator disc surface relative to background, are extracted; finally, the good and bad features are discriminated by single factor variance analysis, thus the feature selection is implemented.
利用直方图均衡化增强原始热像图对比度，人工截取绝缘子盘面图像区域；通过平滑后的图像直方图包络线提取分割阈值，对阈值分割后的二值图像进行形态学滤波，得到绝缘子盘面图像和背景图像，提取2者的最高温度、最低温度、平均温度、温度分布方差以及盘面相对于背景的最大温升和平均温升共10个红外热像特征；应用单因素方差分析甄别特征优劣，实现特征选择。
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The first step is to eliminate all kinds of noises generated in the process of collecting traffic video by means of median filter; Then we finish image sharpening with Laplace operator to clarify edges of the video images; finally, image contrast is enhanced with the help of the second-developing packet SDK-2000, which is provided by our video-collecting card. This way, much more satisfactory images are obtained, and preparation is already made for the following work, thats image analyse.Thirdly, according to the characteristics of our system, mobile objects are distinguished by means of image difference. Then some features such as regional area, length and width of traffic objects are selected and extracted. After processing of scale filter, we successfully recognize those moving vehicles appearing in the monitoring regions.Fourthly, some corresponding algorithms are brought forward to automatically identify those familiar traffic peccancies of many sorts, such as red light violation, yellow-line covering, parking in prohibited spots, over-speed running and converse running. Then we find means to snap pictures and to intercept videos of the spot, and collect a lot of relevant information such as the time, the block, the running direction and the weather conditions and so on. According to this information, our traffic management departments could make correct decisions on punishing those drivers who have broken the traffic rules.Considering the complexity of traffic environments on particular blocks, in order to monitor other traffic peccancies effectively, we also have designed the scheme to carry out traffic monitoring by manual.
首先运用中值滤波法对视频图像进行去噪处理，然后采用二阶差分法进行图像锐化，再通过视频捕获卡携带的二次软件开发包SDK-2000进行对比度增强，从而得到比较理想的图像，为后续的图像分析工作做准备；第三，根据系统特点，通过背景图像差分法，分割出监测区中的运动目标，然后对交通目标的区域面积、长度和宽度等进行特征提取，再经过尺度滤波处理，从而自动识别出机动车辆目标：第四，分别设计相应的算法，实现对闯红灯、压黄线、违章停车、违章超速及违章逆行等常见的交通车辆违章行为的自动识别，并自动抓拍违章现场，截取违章视频，采集其它相关违章信息，为交通执法部门进行交通违章处罚提供有力依据：考虑到特殊路段特殊环境下的交通复杂性，为了有效监控其它类型的交通违章行为，本文还设计并实现了对交通违章的手动监控模式。
- 更多网络解释与背景图像相关的网络解释 [注：此内容来源于网络，仅供参考]
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Background Image：背景图像
② 背景图像(Background Image):点击浏览(Browse)按钮,可以为网页添加背景图片. 此时光标处于编辑窗口的最最左上角,现在可输入你喜欢的任何文字,例如:"欢迎来到 我的个人主页",选取文字,在属性面板上的尺寸(Size)下拉菜单 选取文字的大小,
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Update Background Image：更新背景图像
viewport background 视口背景 | update background image 更新背景图像 | reset background transform 重置背景变换
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background image interference：背景图像干扰
back link 返回链接 | background image interference 背景图像干扰 | backward compatible 向下兼容
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background image interference：背景影像干扰 背景图像冲突
background 背景 背景 | background image interference 背景影像干扰 背景图像冲突 | background process 背景程序 背景程序
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Save background image：保存背景图像
Save image 保存图像 | Save background image 保存背景图像 | Copy document address 复制本页面地址
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Viewport Background：(背景图像)
ALign To View(对齐视图) | Viewport Background(背景图像) | Update Background Transform(更新背景图像)
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Viewport Background：视口背景
grids 栅格 | viewport background 视口背景 | update background image 更新背景图像
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background subtraction：背景减除
背景减除(Background Subtraction)方法是目前运动检测中最常用的一种方法,它是利用当前图像与背景图像的差分来检测出运动目标的一种技术. 它一般能够提供相对来说比较全面的运动目标的特征数据,但对于动态场景的变化,如光线照射情况和外来无关事件的干扰等也特别敏感.
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Backgrounds：背景
注意:bgcolor指背景颜色,background指背景图像,容易弄反 背景(Backgrounds) body 拥有两个配置背景的标签. 背景可以使用颜色或者图像. 背景颜色(Bgcolor) 背景颜色属性将背景设置为某种颜色. 属性值可以是十六进制数、RGB (red,blue,
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Reset Back Ground Trans Form：重现背景变化
Update Back Ground Image:更新背景图像. | Reset Back Ground Trans Form:重现背景变化. | Show Trans Form Gizmo:显示小变化.