查询词典 image

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。

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。

You can simply select the Print command from any application that supports it, and then select the Zan Image Printer instead of your regular printer.

你可以从任何支持打印的应用软件当中简单地选择打印命令，然后选择该 Zan Image Printer 而取代你的正规打印机。

As a result,the flame spectrum of the whole wave-band and the image corresponding to every flame spectrum data were obtained in the experiments.

标 签 光学光谱同步控制全光谱火焰图像燃烧特性 spectrum synchronization control full-spectrum flame image combustion characteristic

AFM was used for nanometer-level-structure analysis of DNA damage induced by a particle and these two kinds of heavy ions. Measurement of the fragment lengths was accomplished with the use of Scion Image analyzed software, which allows a curved fragment to bemeasured in a stepwise manner at nanometer level resolution, and the change laws of three forms of DNA, supercoil, open circular and linear form as the dose increased were obtained.

借助于AFM，对α粒子和两种重离子诱发的DNA损伤进行了纳米水平的结构分析，并结合Scion Image图像分析软件的分段测量方法，对辐照诱发的DNA碎片长度分布进行了纳米级分辨的测量。

objective to investigate staining methods for two-dimensional gel(2-de)electrophoresis in multidrug resistance of gastric cancer.methods cultured vincristine-resistant human gastric cancer cell line sgc7901/vcr and its parental cell line sgc7901.variant amount protein of those cells were separated by 2-de.gels were stained with silver nitrate or colloidal coomassie brilliant blue,and scanned by image scanner.results well-resolved,reproducible 2-de patterns of sgc7901/vcr and sgc7901 were established.silver staining was better when protein sample amount was low,overloaded protein will interfere resolution of the maps.gels stained with colloidal coomassie brilliant blue had more protein spots numbers and abundance without apparent trails when increased loading protein sample.conclusion two staining methods were influenced largely by the sum of protein samples,properly selection may be helpful for further study with proteomics in multidrug resistance of gastric cancer.

低甲氧基果胶的胶凝机理及防止预凝胶。。。他扎罗汀凝胶与克林霉素凝胶治疗痤疮。。。注射隆乳后经乳晕切口取出聚丙烯酰胺。。。目的分析利用蛋白质组学方法研究胃癌耐药相关蛋白质中双向电泳凝胶的染色显示。方法培养胃癌细胞sgc7901和长春新碱诱导的耐药胃癌细胞sgc7901/vcr，用双向凝胶电泳技术分离总蛋白，银染及胶体考马斯亮蓝染色，image scanner扫描仪扫描凝胶。结果获得了背景清晰、重复性好的双向凝胶电泳图谱，两种染色凝胶相比，硝酸银染色在样品少时显示更佳，过量则影响图像质量，而胶体考马斯亮蓝染色在上样量增加时的凝胶蛋白质点数目及丰度均增加，并无明显拖尾。结论两种显色方法受样品量影响较大，恰当选用有利于通过蛋白质组学研究胃癌耐药机制工作的进一步开展。

METHODS: 8 curved artificial root canals were prepared with stainless steel K files by the step-back technique, the root canals were digitally photographed, the images were analysed by the software Image-Pro Plus, the shapes and positions of the root canals were measured and analysed. SPSS10.0 software package was used for statistical analysis, paired-samples t test was used to compare the difference of the means among sample groups.

使用手用不锈钢K锉，按逐步后退法预备8个弯曲人工根管，根管预备过程中对根管及根尖孔进行微距摄影，用图像分析软件Image-Pro Plus对根管的形态与位置变化进行测量、分析；实验数据采用SPSS10.0统计软件包进行统计学分析，选用配对t检验比较组间差异。

Of course, many of you are familiar with Image Metrics because of Rockstar's Grand Theft Auto .

当然，说起Image Metrics，你们更熟悉的应当是Rockstar公司的侠盗猎车手4。

Flow characteristics of flow field in the header of platefin heat exchanger were investigated by means of particle image velocimetry and a series of velocity vector and streamline graphs of different crosssections before and after the header improvement were achieved.

利用Particle Image Velocimetry粒子图像测速仪对板翅式换热器入口结构改进前后的流场进行了实验测试，获得了入口结构内部不同剖面处的流场速度矢量和流线分布图。

FITSwas recommended as the standard format for interchange of image data among all observatories by Commission 5 at the 1982 General Assembly of IAU in Patras.

FITS (Flexible Image Transport System)是国际天文学会 1982 年确定的世界各天文台之间用于数据传输、交换的统一标准格式。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。