查询词典 image-building

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。

In such doing, this dissertation serves as a step stone for papers of its counterparts to come, and, more importantly, it proposes a strategic alternative to the realization of models for image processing. This dissertation consists of three major parts. In the first part, detailed discussions and delicate analyses of academic papers on Cellular Neural Network will be provided in the hope of helping us see the potentiality of Cellular Neural Network in the applications of image processing. I will focus on the aforementioned limitations on hardware compilation as well. In the second part, I will put forth "texture analysis" as one basic model of analysis when we apply Cellular Neural Network to image processing. In this so-called texture analysis, a useful "spatial feature" is especially drawn to help us overcome possible problems of more complicated Cellular Neural Network applications in image processing."Spatial feature" also serves as a well-functioning mechanism for technology of image identification. In the last part of this thesis, I will look into a case study, where Cellular Neural Network is applied to help de-screen document image. Using it as an example, we will see how algorithms of Cellular Neural Network may be of marvelous use in applications in document image processing, since it would reduce a great deal of calculation and computation when applied to software compilation, yet opens up unlimited possibilities for higher-speed hardware compilation of high-level image processing.

这篇论文主要可以分为三大部分：在第一部份里，我们会详细地说明并讨论在过去到现在大部分将分子类神经网路应用於影像处理的相关文献及未来所有可能的发展和技术，另外也将分子类神经网路作一完整的介绍，除此之外，我们也会特别著重於分子类神经网路在影像处理相关应用理论的讨论以及其硬体实现化的考量；在第二部分里，我们提出了一个将分子类神经网路应用於影像辨识处理的基础分析—纹路分析，这是由於纹路分析的复杂性和普遍性会使得分子类神经网路於高阶影像处理的应用不会只局限在单一的影像处理技术，其中我们也提出了一个相当有用的空间特徵，此一特徵不但可以使复杂地高阶影像处理能够应用分子类神经网路，也为影像辨识技术提供了一个很好的辨识机制；在最后一部分里，我们也将文件影像分析做了一个完整的剖析，并以文件影像的去网点为例来说明在实际情况下的分子类神经网路的应用，如此演算法的开发也为文件影像处理提供了更多实际的应用，更考量了文件影像处理若以软体实现时的计算量负荷，而对未来高阶数位影像处理能够以硬体实现来提高处理速度提供了无限的可能。

Vidicon collect simulate image in period of time and send to computer or DSP chip through video collection card digitlization,use computer to gain eyewinker and process digital image processing:using image area segment and boder measure to calculate area and perimeter;using image smoothness to wipp offthe infection of yawp;using dynamic background and image suited technology to overcome the infection of ray;calculation the parameter of eyewinker(area, perimeter,round measurement, proportion characer and invariant monent),using least norm to design the linearity classify parts,using image matching technologyto classify eyewinker,and to judge whether the eyewinker is harmful to diff background,if the eyewinker satisfy the character require of harmful object ,system will auto-stsrt alarm device. If there ia not have found any eyewinker, Vidicon will collect new simulate image and make processing.

本设计是将摄像机或高频头采集到的模拟图像经过视频采集卡数字化后送入计算机或DSP芯片，利用计算机对采集到的一定时间段内的图像进行异物获取，并对异物图像进行数字图像处理：利用图像区域分割和边缘检测以便进行面积和周长的计算，利用图像平滑去除噪声的影响，利用动态背景运动检测法和图像配准技术克服光线的影响，并通过异物的各类参数（如面积、周长、圆形度、比例特征和不变矩等）的计算，采用最小范数分类法设计了线性分类器，利用图像匹配技术对异物进行分类，从而判断异物是否有害，针对于不同的背景，若异物满足有害物体的特征要求，则认为物体有害，自动启动报警装置，如果没有发现有害异物则新摄入的图像将取代前一时间段的图像再进行图像处理。

A complete set of image processing and recognition of the source code This is our internal development and use of a image processing code, includes the most image processing and recognition processing function : as template transform, Image smoothing, sharpening, edge recognition, image filtering and fuzzy images, image inverse filtering, fuzzy image noise increases, Wiener filter images, linear transformation, gray tensile, histogram equalization, images corrosion, expansive images, image open operation, GIF correct coding, zooming, rotation, fast Fourier transform, discrete cosine transform, and so on and so forth, that is too many.

详细说明：一套完整的图像处理与识别的源码这是我们内部开发与使用的一套图像处理代码，里面包括了大部分图像处理与识别处理的的函数：像模板变换，图像的平滑、锐化、边缘识别、图像中值滤波、图像模糊、图像逆滤波、图像模糊加噪、图像维纳滤波、线性变换、灰度拉伸、直方图均衡、图像腐蚀、图像膨胀、图像开运算、GIF确码编码、缩放、旋转、快速付立叶变换、离散余弦变换等等，等等，太多了。

In this paper, three methods for color image retrieval have been presented: hypercomplex SVD image retrieval, combination of hypercomplex convolution filter and hypercomplex SVD image retrieval and hypercomplex matrix correlation image retrieval. We made comparison among these hypercomplex-methods, and compared them with the traditional image retrieval methods. Experiment results showed that the hypercomplex-methods we presented in this paper could well conquer the problems existed in traditional image retrieval methods, and their retrieval results are much better. Meanwhile, this paper presented a new color image quality assessment based on hypercomplex SVD. It is a novel color image quality assessment that can be used as a graphical or a scalar measure to predict the distortion introduced by a wide range of noise sources. It reliably measures the distortion not only within a distortion type at different distortion levels, but also across different distortion types.

提出了超复数奇异值分解检索法，超复数卷积滤波与超复数奇异值分解相结合的检索法以及超复数矩阵相关检索法等三种超复数彩色图像检索方法，在对提出的三种算法进行比较的同时也将其与传统图像检索方法进行了比较，结果证明，超复数彩色图像检索法能较好地克服传统图像检索方法存在的问题，且检索结果更优；同时，本文提出了基于超复数奇异值分解的彩色图像质量客观评估法，这种全新的图形化与数值化相结合的方法不仅能够准确评估出彩色图像的不同失真等级，还能够区分不同的失真类型，从真正意义上实现了彩色图像的质量评估。

In the c ognitive domain, the synaesthetic image involves the mapping of image from a low er modality onto a higher one more frequently than its inverse, the mapping fromthe more accessible properties of the source image to the less accessible one o f the target image. In the aesthetic domain, the synaesthetic image, as a novel metaphorical image,provides much food for the subject's aesthetic experience. M eanwhile, in the literary domain, the image reveals its poetic function in narra tion.

在认知的范畴里，通感意象一般 SsbbwW.com 产生于由低级感官域的意象到高级感官域的意象的映射，亦即从可及性较强的意象特征到可及性较弱的意象特征的映射；在美学的范畴里，通感意象作为 dddtt 一种新颖的隐喻意象丰富了主体的审美体验；而在文学的范畴里，通感意象则具有诗学的功能，表现出叙事的文学性。

In the c ognitive domain, the synaesthetic image involves the mapping of image from a low er modality onto a higher one more frequently than its inverse, the mapping fromthe more accessible properties of the source image to the less accessible one o f the target image. In the aesthetic domain, the synaesthetic image, as a novel metaphorical image,provides much food for the subjects aesthetic experience. M eanwhile, in the literary domain, the image reveals its poetic function in narra tion.

在认知的范畴里，通感意象一般产生于由低级感官域的意象到高级感官域的意象的映射，亦即从可及性较强的意象特征到可及性较弱的意象特征的映射；在美学的范畴里，通感意象作为一种新颖的隐喻意象丰富了主体的审美体验；而在文学的范畴里，通感意象则具有诗学的功能，表现出叙事的文学性。

With MagicISO, you can handle DVD image up to 10GB; make cd image files from CD/DVD-ROM; also can burn ISO files and another CD/DVD image files (BIN, IMG, CIF, NRG, BWI,VCD and so on) to CD-R/RW,DVD-R/RW, DVD+R/RW;burn CD image files in ISO9660, Joliet, and UDF format; edit properties of CD/DVD image files; it has the ability to correct volume serial number after editing original CD/DVD image file.can search files or directories with wildcard characters in CD/DVD image file; can extract, rename, delete, open the found files; improved CD/DVD image file detecting engine; supports burning CD on USB connection CD-R/RW driver; fixed some minor error.

与magiciso ，您可以处理DVD影像高达10 GB的；作出的CD影像文件从CD / DVD - ROM光碟，也可以刻录的ISO文件和另一张CD / DVD的图像文件（斌， IMG的到岸价格， nrg ，布雷顿森林机构， VCD和等，）的CD-R/RW ， dvd-r/rw ，在DVD + R / RW光碟；烧伤的CD影像文件， iso9660 ， Joliet的，和的UDF格式；编辑属性的CD / DVD的图像文件，它有能力正确的卷序列若干修改完成后，原来的CD / DVD形象file.can搜索文件或目录与万用字元在CD / DVD的图像文件；可以提取，重新命名，删除，打开找到的文件；改善CD / DVD的图像文件的检测引擎；支持裁谈会就燃烧USB连接的CD-R/RW驱动器；固定一些小的错误。

In order to apply remote sensing image in terrain simulation, we must get the remote sensing image with high space resolution and high spectrum resolution. In this paper, we use the TM image, IKONOS image and same zones DEM to make three demention terrain map. In order to keep the TM images spectrum information and import the geometry character of IKONOS to fetch up the disadvantage of TM and IKONOS,we first use the polynomial method to geometry registration the IKONOS image and TM image,then we use the fusion algorithm base on HIS transformation fuse the TM image and IKONOS image.

首先将同一地区的TM影像与IKONOS影像进行精确配准后，使用基于HIS变换的融合方法，将两种影像进行融合，融合结果在保持TM影像丰富光谱信息的基础上，引入了IKONOS影像的几何特征，从而弥补了TM影像分辨率低和IKONOS影像光谱信息缺乏的缺点，并生成具有 1m分辨率的彩色影像；最后将融合结果与相应地区的DEM数据进行复合，生成了具有高度真实感的三维影像图。

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。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。