图像化

In view of above condition, this article carries on the smooth noise reduction to the actual gathered annual ring image with the use of computer imagery processing method.

针对以上情况，本文探讨了利用计算机图像处理的几种方法，对实际采集的年轮图像进行直方图修改、平滑滤波、二值化处理等处理，使处理后的图像在应用到WinDENDRO分析系统时，能快速准确的计算出年轮个数、宽度值等参数，为后续树木生长分析提供精确的数据，解决人工操作费时费力和错漏等问题。

This thesis discusses the realization of the picture processing function of later phase in the process of PACS development. Basing on traditional digital image processing and according to the characters of medical images, we design the Mark Boff Chain edge detection algorithm basing on the distributing model of image grade scene, and has got good effect in the practical experiments; as to the system development, we design customizable DICOM standard analyzer, and use the trigger mechanism Callback to improve the analysis speed ,and adopt the system structure basing on the standard interface to reduce the modules coupling degree, and strengthen the stability of the system.

本文在PACS系统开发过程中，对其影像后期处理功能的实现进行了探索，在传统数字图像处理的基础上，根据医学图像自身所具有特点，设计出了基于图像梯度场分布模型的马尔可夫链边缘检测算法，并在实际测试中取得较好效果；在系统开发方面，设计出了可定制化的DICOM标准解析器，应用CallBack触发机制来提高解析速度，采用基于标准接口的系统架构体系降低了组件耦合度，增强了系统的稳定性。

This article also with emphasis discussed based on has connected the value the image to go to chirp the method and based on the character shape and the structure direction characteristic quantity extraction process.

本文在图像预处理中重点讨论了灰度图像二值化的多种算法和基于数学形态学的图像去除噪声的方法。

This contour phase correlation method is superior to the conventional phase correlation in two aspects. Firstly, the contours of images are extracted, and the phase correlation is applied to the contours of images instead of the whole original images, which is more efficient and robust. Secondly, when there are multiple peak values approximate to the maximum peak value in the δ function array, the corresponding translations can be regarded as candidate translations and calculated separately, and the best translation should be determined by the optimization of conformability of two images in the overlapping area.

本轮廓相位相关算法对常规的相位相关算法作了两点改进：(1)提取出图像的轮廓，只对二值化的轮廓图像进行相位相关计算，效率和鲁棒性提高；(2)当相位相关的δ函数阵列中存在多个和最大峰值比较接近的峰值时，将其对应的平移量都作为候选平移量，然后根据重叠区图像的一致性选取其中的最佳值。

Grey scale processing is to convert the colorful image to grey scale one, in order to reduce storage space and raise operation efficiency.

图像灰度化即是将真彩色的车辆图像转变成灰度图像，目的是减少其电脑存储空间和提高运算效率。

NET grogram language to develop thisseparating system and makethe varied arithmetic some individual processing moddes.Fromtheopen,read and storage of the image to the image segmentation,feature selection until thejudgment,this system all utilize the modularization program method.

NET来开发和实现了该系统，将各种算法分别做成一个个单独的处理模块，从图像文件的读取、保存到图像预处理再到图像分割、特征提取直至判断识别都采用了模块化编程方法，这样不仅便于算法实现，还可使操作界面清晰明了，更有利于将来系统的维护和升级。

For recognizing image with unknown parameter from the source of illumination and asymmetric illumination frontal image, it was proposed a normalization method of facial illumination based on wavelet Subband image, which concerns different characteristics of low subband and high subband.

对未知光源参数且具有左右光照不均匀的正脸图像，根据小波不同子带图像上的频率特点，提出了一种小波子带图像上的人脸光照归一化方法。

This program is laid special emphasis on at the aspect of the image recognizing realizing , and has applied the algorithm of many image recognizing aspects like the binarization , and goes the chirp algorithm etcs , and compiles by way of VC , and application that Windows2000 serve as the operating system.

此程序侧重于图像识别方面的实现，应用了许多图像识别方面的算法如二值化，去噪算法等，通过VC编写，windows2000为平台的应用程序并封装出一个Dib类来对图像进行调用和处理，完成了模式识别理论向实践的升华。

The edge pixel is processed by Partial Differential Equation. PDE enhances edge and smoothes jaggies in the edge. The pixel in smooth regions of under-interpolated image is processed by Non Local-means model. NL-means model gets gray value of pixel by weighted averaging global information in image and image is smoothed.

使用偏微分方程处理边缘像素，锐化边缘同时平滑边缘块状效应；平滑区域像素点的插值操作使用非局部均值模型，非局部均值模型通过对原始图像全局信息加权平均得到待处理图像像素值，图像平滑。

The reconstruction problem is ill-posed, so two optimal criterions, the least module and the smoothness criterion base on Tikhonov regularization technique, are introduced into reconstruction algorithm. Many regularization parameters choice strategies are investigated, and the TPA(Two—Parameter Algorithm) strategy which is based on the Morozov discrepancy principles, is implemented in two regularization reconstruction algorithms.Numerical experiment results show that the nonnegative and smoothness constraint condition can overcome the difficulty of iteration semiconvergent, preconditioned technique can improve convergence rate and reconstruction accuracy, smoothness regularization criterion can meliorate ill-posed problem of reconstruction and enhance iteration stability, and the TPA is an effective strategy of regularization parameters choice.

数值试验表明：在共轭梯度法中引入非负约束和光滑约束改善了迭代的"半收敛"性，非负约束保证了解的非负性，光滑约束抑制了重建解的振荡现象，约束算法的重建精度与无约束算法相比大幅度提高；在约束共轭梯度重建算法中引入预优技术，可以加快算法的收敛速度，提高迭代的稳定性和重建精度；引入光滑准则的正则化技术可以有效改善图像重建问题的不适定性，加快迭代的收敛速度，提高迭代的稳定性和图像重建质量，计算正则参数的TPA算法在闪光照相图像重建中是有效的。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。