difference image造句
例句与造句
- We make doppler beam sharpening ( dbs ) for the receive signal of every sub - aperture , then make difference image
先对每个子天线接收到的信号进行成像处理，然后利用信号的幅相信息进行对消处理。 - Among the face tracking algorithm , we first use difference image to gain the raw - location , then in the limited position , we use two template matching to tracking face
在人脸跟踪的算法中，采用了在差分图像粗定位的基础上，在一个确定的小范围内利用双模板匹配进行跟踪。 - The change detection process performed by unsupervised techniques is usually divided into three main sequential steps : pre - processing , image comparison ( to generate difference image ) and analysis of the difference image
非监督图象变化检测过程通常可以分为预处理、图象比较(得到差异图象)和差异图象分析三个步骤。 - Image difference is the most direct change detection method for change area extraction , but the gray difference image that is only based on spectral feature is difficult in describing the structure change of an objects
图像差分是实现变化区域检测的最直接方法,但是仅仅根据地物光谱特征差异得到的灰度差分图像难以表征地物局部结构的变化。 - Then the scheme based on red eye effect , difference image and kalman filter is adopted . this paper pay attention to introduce the designing of system , the hardware development for capturing image , and algorithms of detection & tracking of pupil
本文完成了该系统的总体设计，开发了视频图像的获取硬件，研究了瞳孔检测与跟踪的算法，并应用此系统进行了实验。 - It's difficult to find difference image in a sentence. 用difference image造句挺难的
- Then the noise is removed by means of the variance that is estimated directly from the median of the noise . finally , an auto - detection is made for the motion displacement from the difference image undergone the above pre - processings
本文给出的方法以散射图去除光照影响和静止背景，用噪声的中位数直接估计其方差，从而去除噪声，检测出由运动引起的变动，最后自动检测运动距离。 - The coarse position of moving targets could be obtained by statistically analyzing the difference image that contains motion information , thus the start - up problem of active contour model is solved , and a new color force is constructed according to the image color information
通过对含有运动信息的差分图像进行统计分析，可以获得运动目标的粗略位置，从而解决了主动轮廓的启动问题。 - To solve the first problem , frame difference information is used to direct the location of object regions of difference image frame , and then the objects location information come from d i f ference frame i s used to compound a background frame that does not include any moving object
对背景建模问题，文中提出了根据帧差信息指导不同图像帧中的目标物区域位置定位，据此用不同帧目标物区域像素值合成“空”背景的方法。 - Then the processing methods of inter - frame information in video are presented in detail . the paper discusses video processing technical based on difference . after processing of morphologic operations : image eroding and dilating , we get the binary image to every difference image of video
为了确定图象中人脸的位置，本文引入帧间信息处理技术，采用差分分析方法并利用预处理后差分图象的统计特征，提出一种基于二阶微商算子的人脸定位方法。 - An algorithm for detecting moving ir point target in complex background is proposed , which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign . firstly , pairs of points with rpfn are detected in the difference image between neighbor frame images , with which a virtual vector graph is made , and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs . in addition , a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper . finally , some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1 . 5 can be detected effectively
基于运动点目标在邻帧差分图像中所具有的近邻反相特征,即运动点目标的两个位置相邻近、灰度值一正一负,提出一种在复杂背景下,基于红外序列图像的运动点目标检测算法.本算法利用该特征在邻帧差分图像中检测反相点对,进而构造反相点对矢量图,最后依据累积反相点对矢量图中多矢量首位相接的连续性检测出运动的点目标.文中给出并证明应用本算法能以概率1检测到运动点目标的收敛性定理.对典型复杂背景下10幅1000帧图像的仿真结果表明,当信噪比大于或等于1 . 5时,可以有效检测出运动点目标 - Aims at application , we mainly discuss face detection in two circumstance . ( 1 ) in the gray image , we use difference image in multi - frames , then get the edge of the face , we make the raw - location to ensure the approximate position of the face , next , we use the template of the face to occlude the pseudo face region and get the region which near the exact face region . ( 2 ) use method of two template matching , first , we get the face template from many face average , second , we copy the eye section of the face template then get the eye template
文中首先介绍了图像预处理的各种方法，重点介绍了图像分割和人脸检测定位，针对实际应用的要求，着重处理了两种情况的人像检测定位： ( 1 )在灰度图像下对连续输入的多帧进行差分，对于得到的边缘进行处理初步确定人像的大概位置，然后采用模板匹配进行精确定位。 ( 2 )应用双模板匹配的方法，由多人脸平均得到人脸模板和眼睛模板，在检测中采取了首先使用尺度相对较小的双眼模板搜索候选人脸，再用人脸模板匹配进一步筛选候选人脸的方法。 - Because of the shortage of traditional unsupervised algorithm , three algorithms are proposed in the paper based on the spatial information of the difference image and the clustering characteristic of 2 - d histogram formed by pixel gray levels and the local average gray levels . the proposed algorithms segment the pixels of
本文针对典型算法存在的不足,充分利用差异图象灰度空间分布信息和差异图象灰度-邻域平均灰度二维直方图的聚类特性提出了三种非监督变化检测方法,将差异图象所有像素分成变化和非变化两个类别。 - Introducing and comparing the difference within the conception of area segmentation , motion segmentation and moving object segmentation vop extraction , and their application in content - based video sequence image coding . analysis the relationship between the frame difference image and its relative frame gray level image . then a new automatic moving object edge tracking and extracting method , based on the high correlation between the edge of frame difference and the edge of gray level image , was proposed . using the close of moving object edge to get the real moving object
介绍比较区域分割运动分割和物体分割的概念及其在视频序列图像分割中的应用。分析说明各种运动状态下帧差图像与相应帧灰度图像的关系。提出了基于帧差图像边缘与灰度图像边缘之间强相关性的运动物体边界自动跟踪提取算法。 - Fist , black pixel whose radiance is zero is chosen mutually , then image optical depth is computed , at last image information is recovered , two images which * this work is supported by the major project of science and technology research of ministry of education of china under grant no : 01113 are taken in different degree of fog are processed by difference image information amplification
对单深度图像的处理，则采用人机交互方式选取辐射黑点，后根据大气模型进行处理的方法，求取图像的光学深度，进而利用模型处理的方法恢复图像的信息。对变雾况的两幅同一场景的图像，采用差图像放大的方法，提高图像的清晰度并给出了理论证明。 - 2 ) evaluation of robustness against noise removal attack . by analyzing the mathematical models of noise removal attack , we deduce some indexes for robustness evaluation defined in frequency domain , power spectrum and locally variances of difference images . 3 ) evaluation of the detectability of lsb information hiding algorithm
考察了密信信号隐藏后差值图象的频域特性、功率谱特性和局部方差分布特性，建立了频域特性与线性滤波攻击效率、功率谱特性与维纳滤波攻击效率、局部方差分布特性与最大后验估计攻击效率之间的关系。
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