查询词典 image processor

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。

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。

The co-channel interference rejection filter for outputting a second input signal by removing co-channel interference from a first input signal; a first post processor for removing interference other than co-channel interference from the second input signal; a second post processor for removing interference other than co-channel interference from the first input signal; and a selection controller for selecting the output of the post processor which has less error by comparing the output of the first post processor with the output of the second post processor.

一种共道干扰消除器及其方法，其中抗共道干扰滤波器从第一输入信号中除去共道干扰并输出第二输入信号，第一后置处理器除去第二输入信号中的非共道干扰，第二后置处理器除去第一输入信号中的非共道干扰，选择控制器比较第一后置处理器和第二后置处理器的输出，从中选择误差较小的后置处理器输出。

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。

Based on a lot of experiment results, a conclusion is drawn: comparing with other factors, the performance of branch handling strategy is the key limits of processor to exploit the instruction level parallelism existed in nonscientific code, cache miss have severe effect on superscalar processor's performance when it runs scientific code. Second, in order to reduce the branch penalty and improve the performance of superscalar processor, a new branch handling strategy—a classification based hierarchical branch handling strategy, CHBHS is proposed. It first expands the traditional processor architecture to support multiple condition code, conditional execution and Mbranch instruction, as a result, compiler can reduce the number of static conditional branch when the code is generated. Then, CHBHS tries to use the best suitable mechanism to deal with different branch base on their different behavior. CHBHS can predict the target address of unconditional branch, subroutine call and conditional branch by buffering their target address in branch target buffer, a newly proposed high efficient return address stack is used to reduce the penalty of subroutine return instruction, a new Counter Register Stack is also proposed to reduce the penalty of loop-closing branch to zero, and dynamic branch predictor is incorporate with branch target buffer to predict the outcome of conditional branch.

基于上述结论，为了尽量消除转移指令对处理器开发指令级并行性能力的影响，进一步提高处理器性能，在详尽分析目前已存在的转移处理策略的特点与局限性的基础上，首次提出了一种新的转移处理策略即基于分类的层次转移处理策略CHBHS(Classification Based Hierarchical Branch Handling Strategy)，它首先通过扩展传统的体系结构，支持多条件码、条件式执行及多分支转移技术，以使编译程序在进行代码生成时可尽量少生成条件转移指令，从而减少静态条件转移指令的数目；其次，基于不同的转移指令的行为不同这一事实，提出了对不同的转移指令采用不同的机制进行处理的思想，即对无条件转移指令和函数调用指令以及条件转移指令的目标地址，采用转移目标缓冲器来预测，对于函数返回指令，采用所提出一种的高效返回地址栈来预测其目标地址，对于大多数循环控制转移指令，采用所提出的Counter Register Stack来将其所可能带来的损失减少为0，对于其他的条件转移指令采用动态预测机制来预测其方向。

Each user is a Field-bus control node.SCM MCS-51 is used as its main processor,and Neuron CMOS as its assistant processor.The two processors cooperate with each other.the main processor sam pling and controlling,and the assistant processor taking chang of communication.

把整个系统作为一个LON网络，每个住户作为LON网络的一个现场控制节点并以MCS-51单片为主处理器，Neuron芯片为从处理器两处理器协同工作；主处理器采样控制，从处理器负责通信。

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。

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。

The shaping method of noncircular part and the tool holder's radial motion characters in noncircular turning process are discussed in detail in the thesis.

论文详细研究了非圆零件的成型方法和加工过程中刀架的径向运动规律。

I have not really liked him,I do not like his this kind of disposition.

我没有真的喜欢他，我不喜欢他的这种性格。