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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。

Analysis the background characteristic and the method of frames difference measuring of IR image sequence. Describe the common model of the IR image background prediction.

论文分析了红外图像的背景特性及序列图像的帧间差异性度量方法,描述红外图像背景预测的一般模型。

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。

MethodsTraditional gradient force, gradient plus pressure force and gradient vector flow force were used in active contour models to segment malleus, incus, eardrum and some shared surface images. The segmentation results were compared. ResultsBoth the gradient force and the GVF force resulted in satisfactory results when the initial contours were close to the boundary.

将传统的梯度外力、梯度加压力及梯度矢量流外力应用于主动轮廓模型,分别对砧骨、锤骨、砧骨和锤骨间的共享狭窄面及鼓膜等图像进行图像分割,比较图像分割的结果,选择收敛速度快、分割结果准确的方法。

The maincontents of this thesis include:Firstly,by using inherent relationship between region integral and curve integral,designing the image transform operator,a novel snake model using both boundary andregion information was proposed,which more directly integrated the prior knowledgeincluding region information with the traditional deformable model,so that the abilityabout evolving contour curve was improved.

本论文将以严密的数学理论、可靠的物理原理和实际的应用背景为出发点,研究这一图像处理和分析的基本问题,并相应开展了以下几个方面的工作:首先,本论文利用区域积分与曲线积分之间转化的内在联系,通过设计相应的图像变换算子,提出了一种基于边缘与区域信息的图像可变形轮廓提取模型。

The ill-posed inverse problem of image restoration is studied.

针对图像复原的病态反问题进行研究,分析了图像复原的数学模型及其病态性,提出了组合傅里叶变换与曲波变换的图像复原算法。

They have to get the same resolution, which is called isotropic in three dimensions before which are used to reconstruct.

本文通过图像插值、图像复原和三维重建三个方面的研究来最终建立LSCM图像序列的三维模型。

Experimental results demonstrate that this algorithm model is terse and realizable easily, the blur and jaggy of image detail are avoided.

实验结果表明,算法模型简单易于实现,消除了传统图像插值算法边缘锯齿和模糊,保持了图像边缘细节和纹理特征,对彩色图像视觉效果更为明显。

Experimental results demonstrate that this algorithm model is terse and realizable easily, the blur and jaggy of image detail are avoided. The visual quality of the color interpolated images is more prominent.

实验结来表明,算法模型简单易于实现,消除了传统图像插值算法边缘锯齿和模糊,保持了图像边缘细节和纹理特征,对彩色图像视觉效果更为明显。

In this article a method based on edge extraction, linear image transformation and histogram modification is proposed to address the mentioned problem.

针对图像变形问题,我们分析了扫描图像变形的几何模型,提出了基于边缘提取和线性变换的图像纠正计算公式。

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