查询词典 image detector

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It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上，取得了如下主要研究成果：①构造了一个通用的人脸轮廓模型表示，解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题，并给出了模型内、外能函数的定义，同时给出了模型的全局与局部匹配算法，实验表明，使用这种表示形式以及匹配算法，能够较好地提取人脸图象的轮廓，可实际用于人脸图象的分割；②深入分析了PCA方法的识别机制，得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论，同时指出这也是造成PCA方法通用性较差的本质原因，并给出了不同人脸空间距离的一种度量方法，使用该度量方法能够直观地对人脸图象空间进行分析；③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度，实验结果表明，探测精确度很高，从而有利于人脸图象特征提取，以及图象的有效表示；④构造了人脸图象的各局部特征模板，用于人脸图象局部特征的探测；同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法，实验结果表明，使用这种方法能够精确地得到人脸图象各局部特征的位置；⑤提出了一种新的人脸图象表示法---双属性图表示法；利用属性图来表示人脸图象，并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性，这种表示方法充分利用了人脸图象的局部特征的统计特性，并且使用Gabor变换来反映人脸图象的拓扑结构，从而使得双属性图表示法具有较强的通用性；⑥在双属性图表示的基础上，给出双属性图匹配函数及匹配算法，在函数及算法设计过程中，考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响，使得匹配算法具有较强的通用性；⑦设计并实现了一个通用的人脸图象识别系统，实验结果表明，该系统在图象光照、尺度、旋转姿势情况下，得到了较好的识别效果。

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In addition to the basic configurations such as door magnetic detector and passive infrared detector, it is still compatible with smoke detector, noxious gas detector, active correlation detector, glass break detector and high-pitch alarm.

除了基本配置门磁控测器、被动红外探测器外，本系统还兼容烟雾探测器、有害气体探测器、主动红外对射探测器、玻璃破碎探测器、高音警号等系列设备，用户可购买增配。

It includes hardware equipments and foundational theory of the image digitization. This paper expatiates on some digital image processing technologies that the inspecting system may apply to the research and analysis of the collected glass-crack image. Using neighborhood average method and median filter retrains the image noises and make the image edge smooth. Then protract the histogram of the gray image, get the threshold of this image, utilize the threshold method and gray-level slice method to get a binary image, and detect the image edge. Finally calculate the area and perimeter of the glass-crack image, and use the circularity to judge whether this image is a glass-crack image.

本文重点阐述了研究和开发这套玻璃瓶裂纹检测系统所应用到的一些数字图像处理技术，并应用这些技术和方法对采集的裂纹图像进行了处理和分析：应用邻域平均法和中值滤波法来抑制图像的噪声，使图像的边缘平滑；然后绘制出处理过图像的灰度直方图，得到该幅裂纹图像的阈值，利用阈值法和灰度级切片法对裂纹图像进行二值化处理，得到其二值图像，并对图像进行了边缘检测；最后计算出裂纹图像的面积和周长，利用圆形度指标来判断该图像是否为裂纹图像。

An image formation apparatus comprises: an image formation apparatus main body; plural image formation units being provided detachably in the image formation apparatus main body, each of the image formation units including an image carrier and an exposure device that applies light to the image carrier for writing a latent image onto the image carrier; and a positioning section that positions the exposure device of each of the image formation units relative to the image formation apparatus main body.

本发明公开了一种图像形成装置，包括：图像形成装置主体；多个图像形成单元，其可拆卸地设在所述图像形成装置主体中，每个所述图像形成单元包括图像载体和曝光装置，所述曝光装置向所述图像载体照射光，以将潜像写入到所述图像载体上；以及定位部分，其相对于所述图像形成装置主体定位各个所述图像形成单元的曝光装置。

Firstly, the multi-user detector that relatively integrity in theory and proximal to optimal multi-user detector is discussed and Decor elating Detector, Minimum Mean Square Error Detector, Optimal linear Detector together with the multi-capability indexes output energy, SNR, bit error rate, asymptotic efficiency, convergence etc.

本文首先对理论上及性能上接近最佳多用户检测的次最佳多用户检测进行理论研究，计算并分析了解相关检测器、最小均方误差检测器、最佳线性检测器的性能指标(输出能量、信噪比、渐近有效性、误码率以及收敛特性等)。

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。

AME (Asymptotic Multiuser Efficiency) is an important factor to evaluate multiuser detector. From this point of view, performance comparison among multistage multiuser detector, decision feedback multiuser detector and linear decorrelating multiuser detector is done here.

评价多用户检测器性能的一个重要的指标就是渐近多用户效率，本文第一次从渐近多用户效率的角度分析对比了多级多用户检测器、判决反馈多用户检测器和线性解相关检测器的渐近多用户效率。

First, the performance of the conventional single-user detector、the optimal multiuser detector、the decorrelating detector and MMSE blind multiuser detectors have been analyzed in this paper, via simulation confirmation, an effective blind multiuser detector that can solve MAI and near-far problem is attained, its implementation is introduced preparatorily in this paper.

首先，本文较为系统地分析了传统检测器CD、最优检测器OMUD、解相关检测器DD及MMSE盲多用户检测器(基于子空间的盲算法及基于CMOE准则的盲算法)的性能，通过仿真验证，得出一种能有效解决多址干扰和远近问题的盲多用户检测器，并初步给出其实现方案。

After explaining total design of automated test system for microcircuit , the thesis introduces GPIB standard .

文章在说明了微电路模块自动测试系统的总体设计后，对GPIB标准进行了介绍。

He interceded in my behalf.

他替我说情。