图像化

The skeleton obtained from binary image skeletonization is restricted to the sensitivity of the method to boundary noise, which limits the application of skeleton in image processing.

二值图像骨架化方法得到的骨架都受制于对边界噪声的敏感性，限制了骨架在图像处理领域中的应用。

Based on the structure and work flow of the system, the thesis describes the design of the communication interface between the uncooled...

本论文按照处理机的工作流程，首先讨论FPGA与视频探测器之间的数据通讯模块的设计，接着介绍了图像预处理模块，在预处理模块中，重点介绍了一种改进的二维中值滤波方法和一种特别适于硬件实现的边缘检测算法；在第四章，讨论了用FPGA实现图像获取和模拟视频输出；第五章，讨论了FPGA与DSP之间以及FPGA与弹上机之间的通讯模块的设计，接着重点研究了一种新的Verilog语言的描述风格，并用此写法在上FPGA实现对外围设备的初始化模块；最后，对本文所做的工作进行了总结。

The image enhancement after using wavelet unsharp masking to improve the edge and useful detail information are studied.

运用小波反锐化掩模法对图像的轮廓及细节信息进行增强处理，完成图像的最终增强。

The method consists in, initially, producing MR-overview x-rays of the body of the patient and then using them to individualise a predetermined parametric anatomic body model.

所述方法是，先制作所述患者身体的初始磁共振概览图像，然后在使用所述初始磁共振概览图像的基础上将一个预先确定的参数化解剖学人体模型个性化。

The use of the original image adjacent 5 × 5 pixel region of image processing and refining coarsening treatment.

详细说明：运用原图像的5×5相邻区域像素值，对图像进行细化处理和粗化处理。

Subjective evaluation conclusion sample sets of fusion images are considered as output of fuzzy expectation. Several classical objective evaluation indexes are fuzzed by Gaussian membership function as network input samples.

该模型将融合图像的主观评价结论样本集作为模糊期望输出，并利用高斯隶属度函数将多种典型图像融合客观评价指标进行模糊化，作为网络输入样本。

Several classical objective evaluation indexes are fuzzed by Gaussian membership function as network input samples.Related parameters of evaluation index weight and membership function are generated by network learning.

该模型将融合图像的主观评价结论样本集作为模糊期望输出，并利用高斯隶属度函数将多种典型图像融合客观评价指标进行模糊化，作为网络输入样本。

Also, when image data processing is completed, image data is invalidated.

在图像数据的处理结束时也将图像数据无效化。

The thesis consists of three parts:The first part deals with optimal Sobolev inequalities on compact Riemannian manifolds;the second part is concerned with some variational models in image processing,and we propose variational models as well as experimental results for detection,denoising and mosaicking;the last part deals with inverse differential geometry in 3-D non-local image restoration.

本论文由三个部分组成。第一部分是流形上的非线性分析：第二部分是基于能量极小化方法的图像处理；第三部分是三维非局部图像重建及逆向微分几何。在第一部分中，我们研究了紧致流形上的最优Sobolev不等式，证明了某些不等式虽然就整体而言是不成立的，但总是局部成立的。

The stereo image pair is acquired by a pair of calibrated cameras. Global disparity of foot is estimated at first. After the image pair is preprocessed automatically, using non-contact information-collecting technique and phase-correlation method, which is based on complex wavelet, surface matching with sub-pixel accuracy in the frequency domain is carried out. By taking order matching constraint, continuity constraint and correlation constraint together, 3D point cloud of foot is reconstructed and 3D model of foot is built by mosaicking point cloud at various angles automatically. After normalization, high-order moments are compared, which is useful for the subsequent shoe last design.

运用已标定的双目照相机拍摄立体图像对，进行足部整体视差估计；在对立体图像对进行自动预处理后，采用非接触式的信息采集技术，运用基于复小波的相位相关技术对足部表面进行亚像素级小区域频域匹配，考虑顺序匹配约束、连续性约束和相关性约束条件，重建足部密集三维点云信息，并自动拼接不同角度点云生成相应的足部三维模型；对其归一化后，提取其高阶矩向量进行比对，为后续的三维鞋楦设计提供必要信息。

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。