查询词典 image storage space

Outside the pure image, the image is not mostly influenced with the movement image by simple esthesia image , becoming excited, on the classification of the image, the demarcation line is not so obvious.

纯粹影像之外，影像大多不是单纯的感知影像、动情影响与动作影像，在影像的分类上，界限并不是那麼明显。

It employs the complex-valued step function to build neural model, then constructs network structure and decides the number of neurons; it adopts complex-valued Hebbian rules and inner product way to calculate the net weight matrix; then it analyzes the convergence of the network by taking advantage of the definition of energy function. In the image pre-processing stage, 2-dimensional Fourier Transform and Euler's formula are used, respectively, to transfer a gray-scaled image into phase information needed by the complex-valued neural network when stores the traffic sign. In the image post-processing stage, phase inverse transformation is used to change the phase image to gray-scaled image.

采用复数阶跃函数构建了神经元模型，建立了复数Hopfield神经网络结构，并且确定了网络中神经元的个数；借助复数Hebbian学习规则和复数内积法给出了网络权值的确定方法；借用复数网络能量函数的定义，说明了复数识别网络的收敛性；在前期的图像数据处理部分，分别使用离散二维傅里叶变换和欧拉公式，给出了将灰度图像数据转化为复数网络所需要的相位信息的方法，实现了网络对路牌的记忆存储；在后期的图像还原部分利用相位逆变换的方法，实现了相位图到灰度图转化。

Digital image processing technology,the present reseach level about image alarm system is to separate eyewinker from monitoring image,and to judge whether the eyewinker is harmful according to the size of the area of object,this method is imprecise and suspectable.The image recgnition alarm system isan apply on image processing technology.when a foreign object enter monitoring place,we will segment、measure object,and analysis、judge through proportion characer or invariant monent.the result of the parameter will decide whether the eyewinker is harmful,if the object is harmful ,system will auto-startalarm device.

而本设计的主要特点是基于了数字图像处理技术，目前传统图像报警系统的研究水平是将异物从监控图像中分离出来，然后依据异物面积的大小来判断异物是否有害，它对异物有害的判断十分不准确，这种判断结果的有效性是很值得怀疑的；针对于这些弊端，本课题在数字图像处理技术上的应用是对监控场所进行全景监控，如有异物进入，对异物进行分割、测量，从不同的角度进行了分析和判断，进而决定异物是否有害，若满足场景所规定的有害条件，则启动报警装置，发出报警信息。

Contents : Chapter 4 Image Enhancement (contrast enhancement, gray transform, histogram dressing, image smoothing, sharpening, Pseudo-color and false color enhancement); Chapter 5 of Image Restoration (inverse filter rehabilitation, Wiener filtering method); Chapter 6 of image processing orthogonal transformation Fourier transform, discrete cosine transform (DCT, the Walsh transform, Based on the eigenvectors of transformation, Hotelling transform, SVD transform, wavelet transform, Mallat algorithm; Chapter 7 Image Coding Hoffman (Huffman coding, arithmetic coding, RIc, the bit-plane coding, predictive coding, DPCM.

内容：第4章图像增强（对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强）；第5章图像复原（逆滤波复原、维纳滤波方法）；第6章图像处理中的正交变换（傅立叶变换、离散余弦变换、沃尔什变换、基于特征向量的变换、霍特林变换、SVD变换、小波变换、Mallat算法）；第7章图像压缩编码（霍夫曼编码、算术编码、游程编码、位平面编码、预测编码、DPCM、JPEG 2000编码

An infinity homography for an image pair within an image sequence is transferred to other image pairs within the image sequence utilizing point matches for the subject image pairs.

图像序列内的一个像对的无穷远单应矩阵利用对象像对的点匹配被传送到该图像序列内的其它像对。

There has some intuitionist noise which declines the quality of image in the medical digital image. So we need to eliminate noise from image. To improve contrast sensitivity, display the illegible and low contrasted detail of image, We need to enhance image.

医学图像中存在着一些直观的噪声，使图像的质量下降，因此需要对图像进行去噪，为了提高图像的对比灵敏度，显示图像中较模糊、对比度差的细节，还需要对图像进行增强处理。

We introduce the ideology and viewpoints of image denoising into image inpainting. Considering the property of spatial continuity of local area on the image, We propose here a new algorithm for image inpainting based on spatial continuity and image denoising.

我们把图像滤波的思想和观点引入到图像缺损信息恢复问题中来，根据图像局部区域具连续性的特点，提出了一种新颖的基于邻域滤波的图像修复模型。

The main work and innovation1 In general , a image compression method has different effect to different image . Some are fit for image which has much high frequency . Some are fit for image which has much low frequency .This paper analysis the applicability of fractal algorithm . In this dissertation , an improved algorithum is given . The basic algorithum without eight change and the joint use of quantitative coding , The compression ratio and PSNR can be adjusted , and it can get more quickly speed of coding .2 To a group of exact fractal code , the decoding image can be any resolution .With this characteristic ,choose the proper domain block and range block,this paper get an algorithum which can get higher decoding PSNR and speed than the basic fractal algorithum.3 Give a new method to calculate the scale factor . The calculation of basic algorithum is complex and enormous . The factor of scale is an important variable of the basic algorithm. Now there are two methods to calculate the factor of scale .A new method was given to calculate the factor of scale. The calculation load and complexity are reduced by the new method. Compared with the basic algorithm , the method can reduce coding time.4 The basic fractal algorithum is based on the Collage theorem and contraction mapping theorem . A mathematic model based on basic fractal algorithum is given .

本文的主要工作及创新点主要包括以下几点：1一般情况下，一种图像压缩的方法对不同特点的图像，压缩效果会有所不同，本文利用分形压缩编码对不同特点的图像进行编码，分析了分形编码对不同图像的编码适用性，利用去掉8种变换的分形编码算法与简单的均匀量化编码方案相结合，得到了一种可以调节压缩比与解码质量的分形编码方案，该提高编码速度6倍以上。2分形编码的特点之一是分形解码的分辨率无关性，即对于一组分形编码可以将其解码到任意分辨率下，本文利用分形编码的这一特点，结合不同的量化编码方案，选择合适的定义域块与值域块及适当的编解码分辨率，得到了一种提高解码质量，编码速度提高12倍以上的加速算法。3比例因子是基本分形算法中的一个重要变量，目前有两种计算比例因子的方法，文中给出了一种新的求比例因子的方法，该方法简化了求比例因子的计算，从整体上减小了基本分形算法的计算量，简化了算法4分形压缩的数学基础是不动点定理与拼贴定理，本文根据基本的自动分形编码方法，建立数学模型对其进行推导，得到了用普通数学的极限理论解释分形编码的数学表达式，从而对由基本分形编码得到的解码图像中的像素点的值给出了确定的表达式。

The characters of different illumination conditions are studied and the corresponding algorithms of gray image edge detection are proposed. In normal condition, the Sobel operator can be used to get the image edge. When the illumination is faint, the image is first enhanced by the MSR, and then the variance threshold algorithm is employed. While the light is strong, the image edge can be got by gray expand. At last, the instance image is detected.

通过对不同光照情况下的图像特征分析，提出了不同光照情况下的图像边缘检测算法：正常光照条件下采用Sobel算子进行边缘检测；弱光照条件时先用MSR (multi-scale retine)进行图像细节增强处理，再利用类别方差自动门限法得到图像边缘；强光照条件下通过灰度扩展，将所感兴趣的灰度范围放大得到图像的边缘。

The image collecting parts mainly complete the conversion of the optics photograph to the image that can be treated by the computer. In this step, the pictures of teeth are shot by CCD and store in the compute at the aid of the video collecting cards. The image processing parts realize the geometric transformation, color adjusting, enhancement, measurement and some specially good effects of the collected images. And at the assist of the image processing, the more image information of dental images is exploited, so that the odontologist can diagnose more accurately.

牙科图像数字化主要完成从光学图像到计算机可处理图像的转换，为系统提供可操作的对象，其基本过程可描述为：通过CCD摄像镜头，对实物进行拍摄，由视频采集卡以信息流的形式对信号实时采集、捕捉，以帧的形式缓存，以静态的图像格式存储在计算机中；牙科图像处理部分不仅实现了图像的几何变换、色彩调整、图像增强以及一些特效，而且对牙齿病变部位进行测量，通过这些操作，能够获得更多的图像信息，提高了医生对病情诊断的科学性；牙科病例数据库部分能够浏览病人的基本信息及牙科图片，实现患者病历的添加、删除、修改等操作，建立患者牙科图像档案的图文数据库。

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。