图像模型

Then loading the models in both feet standing body posture, gain stress distribution figures of the models, record stress numerus of weight bearing dome, anterior wall and posterior wall in condition of different areas posterior wall fractures. Results 1、Normal 3D finite element model of acetabulum Obtain 3D visible model of pelvic by restituting CT fault images with Mimics10.01; gain 3D visible model of haunch bone by splitting the pelvic model with FreeForm software.

结果 1、正常髋臼三维有限元模型通过Mimics10.01软件对骨盆断层CT图像进行三维重建，获得骨盆三维可视模型；然后在FreeForm软件系统中对模型进行修饰，平滑模型表面，设定各受力面与界线；并成功截取出髋骨三维可视模型；再将模型导入Ansys8.0中进行各部分材料赋值及网格划分，建立了正常髋臼三维有限元模型，共含节点69440个，三维四面体单元45209个。

The method comprises the following steps of : respectively constructing models of residual images of a multi-spectral image and a panchromatic image by using hypercomplex, and respectively subjecting the hypercomplex residual models of the multi-spectral image to hypercomplex symplectic decomposition along the grayscale axis direction to obtain a simplex portion containing brightness information and a perplex portion including chromaticity information.

该方法首先用超复数分别对多光谱图像和全色图像的残差图像建模，并对多光谱图像的超复数残差模型沿灰度轴方向分别进行超复数symplectic分解，得到包含亮度信息的simplex部分和包含色度信息的perplex部分。

In addition,3-d subspace in quotient image method doesn't suffice to represent all images of an object under varying illuminations.Therefore,an improved method based on image on 9-d linear subspace constructed using 9 images of object under the configuration is presented to overcome these deficiencies.And 9 images of another object under the configuration are generated.

此外，商图像方法中简单的三维点光源模型无法很好地近似任意光照情况，因此，提出一种基于九维线性子空间的改进的商图像方法，并利用改进后的商图像方法合成对象在统一配置光源方向下的9幅图像，克服了Lee所提方法的不足。

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 measured object can be found within a few milliseconds in the raster-scan image. 4 . Two lines delay for the processed image is implemented using two 128×8 shift registers with the configurable logic block in FPGA. A new fully pipelined bit parallel hardware architecture for Sobel edge detection is implemented with FPGA. Furthermore, it takes no more than 2ms to complete the edge detection of an image with 128×128 pixels.

视觉检测信号的前端处理技术 1、系统地分析了视觉检测算法层次性特点和计算特点，提出了提高视觉检测信号处理速度的基本方案：采用前端处理系统，自动识别被测物体在获取图像中的位置，并将真正有用的被测物体的边缘坐标值，提供给计算机，作进一步的高精度处理； 2、系统研究了实时图像硬件处理的设计基本方法，提出了基于FPGA的视觉检测信号的低级处理算法硬件实现模块化模型； 3、提出了一种新的基于FPGA的模板匹配并行模块化结构，解决了二维图像处理高带宽要求，在几毫秒内就可以在按扫描顺序输入图像中找到检测目标物体的位置； 4、采用FPGA内部的可配置逻辑块实现了128×8移位寄存器的设计，解决了大容量移位寄存器与FPGA内部寄存器数量之间的矛盾，实现了两行图像的延迟。

In Chapter 2, a detailed survey on digital image watermarking is presented. InChapter 3, an optimal scheme is proposed to use Human Visual System model tocompute masking function. It will be used to control the strength of watermark signalfor optimal embedding. In Chapter 4, we propose a novel watermarking scheme based on lattice vectorquantization. Some important transform coefficients of the original image are firstlymapped into the nearest neighboring lattice points by using lattice vector quantizer,then watermark signal is added to the lattice points.

本文讨论了数字图像水印及其在多媒体安全中的应用，主要围绕下列问题进行研究和创新：1、优化的水印嵌入模型：本文对基于直接序列扩频技术的水印算法进行了改进，根据人类视觉系统感知模型，提出了优化的水印嵌入模型，在不可感知性条件的限制下，使水印的鲁棒性达到最高。2、基于格矢量量化的图像水印：本文提出了基于格矢量量化的多比特盲水印算法，不需要原始图象就可以实现水印信号的检测和译码。

We studied two models, Shantanu Rane model and Vese-Osher model. Further experiments are to be carried out to obtain the best combination of image decomposition, image inpainting and texture synthesis.

本文最后研究了两种兼顾图像受损结构和纹理区域图像修补的自适应算法，算法中分别利用Shantanu Rane模型以及Vese-Osher模型等模型，将受损纹理区域与结构区域有效区分，得到更加自然和谐的修补效果。

Principle of least squares,digital image segmentation,digital image treatment and digital image identifying were applied into the research of wood science in this research,the wood cell image of annual ring from annual center to wood edge was analyzed,the modified level set method was applied to segmentate cell image precisely for the first time,the identifying of wood cells and hexagon simulation for wood cells were accomplished with active contour model,which had important potential application value in deepening the research of wood properties to a further step,moreover,had an important significance for improving comprehend on wood micro-properties and enlarging the applicable range of wood.

本研究将最小二乘原理、数字图像分割、数字图像处理、数字图像识别应用于木材科学研究，分析了从年轮中心到木材边缘的年轮的木材细胞图像，应用改进的水平集方法准确分割细胞图像，应用活动轮廓模型完成了对木材细胞的识别，并完成了木材细胞六角形仿真，对木材材性的深入研究等领域中有重要的潜在应用价值，对提高木材对微观性能认识，扩大木材的适用范围，具有重要意义。

This chapter provides a mathematic model for the transformation between two images obtained from the same scene. Based on pin-hole camera model, the relationship between the coordination of two images is discussed using two camera models, and it is proved that geometric relationship of two images obtained from one scene satisfies affine transformation.

论文在透视投影成像模型基础上，用两个不同相机在不同位置对空间中同一点成像，推导出对应点在不同图像中像素坐标之间的解析表示形式，证明了像素坐标之间满足仿射模型，同时分析了图像之间满足仿射模型时应具备的条件。

This chapter provides a mathematic model for the transformation between two images obtained from the same scene. Based on pin-hole camera model, the relationship between the coordination of two images is discussed using two camera models, and it is proved that geometric relationship of two images obtained from one scene satisfies affine transformation.

论文在****投影成像模型基础上，用两个不同相机在不同位置对空间中同一点成像，推导出对应点在不同图像中像素坐标之间的解析表示形式，证明了像素坐标之间满足仿射模型，同时分析了图像之间满足仿射模型时应具备的条件。

The absorption and distribution of chromium were studied in ryeusing nutrient culture technique and pot experiment.

采用不同浓度K2CrO4(0，0.4，0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗，测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

By analyzing theory foundation of mathematical morphology in the digital image processing, researching morphology arithmetic of the binary Image, discussing two basic forms for the least structure element: dilation and erosion.

通过分析数学形态学在图像中的理论基础，研究二值图像的形态分析算法，探讨最小结构元素的两种基本形态：膨胀和腐蚀；分析了数学形态学复杂算法的基本原理，把数学形态学的部分并行处理理念引入到家实际应用中。