数学形态学

GIS空间信息自动采集的数学形态学方法

Mathematical Morphology Method on Automated Capture of Spatial information in GIS

基于数学形态学的CR图像实时快速分割算法

A new quick segmentation method of CR images based on mathematical morphology

基于数学形态学的SPOT影像桥梁提取

Bridge Extraction from SPOT Image Based on Mathematic Morphology

基于纹理特征和数学形态学的SAR图像目标检测方法

SAR Image Target Detection Method Based on Texture Feature and Mathematical Morphology

基于数学形态学和相位编组SAR影像道路自动提取

Automatic road extraction from SAR images based on mathematical morphology and phase group

首先对CT试验和基于数学形态学的图像处理技术进行了简单介绍。

The principle of the image measuring technique based on the mathematic morphology and the CT test are briefly presented .

将数学形态学滤波算法应用于X射线焊接图像的缺陷提取，关键在于确定结构元素大小。

When mathematic morphological filtering methods are applied on the welding defect extrac-cording to the size of the welding defect .

数学形态学滤波预处理tanδ在线监测数据

Data Preprocessing of On-line Monitoring tan δ Based on Mathematical Morphology Filter

本文选择Visualc++作为开发平台，针对拍摄的交通图像编写了运动车辆检测和数学形态学滤波程序。

The programs for both the moving vehicle detection and mathematical morphological filtering have been written on the development platform of Visual C + + .

基于数学形态学的红外点目标实时检测算法及其CPLD实现

Real-Time Detection Algorithm of Infrared Image Point Targets Based on Mathematic Morphology and Its Implementation on CPLD

基于数学形态学原理的Lidar点云数据分类在植被信息分离中的应用

Application of Lidar Point Data-Set Classification in Vegetation Information Remove Based on Principle of Mathematical Morphology

基于Canny算子与数学形态学结合法对胸水脱落细胞边缘的提取

Edge Detection for Chest Hydrocele Desquamate Cell Based on Combining of Canny Algorithm and Morphology

基于分形和数学形态学的MAG焊熔池图像分析

Analysis of the molten pool image of MAG welding based on fractal and mathematical morphology

依次为颜色调整、抽取RGB之一的分量、数学形态学处理。

Image enhancing , color adjusting , RGB heft extracting , mathematical morphology processing are implemented according to the set sequence .

其在HSV空间中进行色彩分割，运用数学形态学处理，采用闭运算，形成连通域。

The color division is carried out in HSV space ; the math morphologic and close calculations are adopted to create communication area .

此外，还重点介绍了常见的如Hough变换、轮廓提取与跟踪、数学形态学等图象处理方法的原理与相应的算法。

Otherwise principle and algorithm , such as Hough transform and mathematical morphology and edge detection and following are detailedly discussed in this paper .

基于数学形态学图像处理的TIG焊接过程正面熔宽控制

Width control of obverse pool of TIG welding based on morphological image processing Study on the Real-time Measurement of Weld Pool Width from the Surface of Weld

其二，结合经验模式分解（EMD）理论、LAWS纹理能量测度、模糊聚类和数学形态学知识提出又一超声图像分割新方法并成功地提取出了图像的病变区域。

Secondly , integrating EMD theories , LAWs texture energy measure , fuzzy clustering and math-morphology theories this thesis proposes another image segmentation new method , and successfully extracted the region of illness .

最后，利用DSP专用汇编语言编写心音信号处理程序，程序主要分为三个模块：小波分析模块，数学形态学模块和幅值提取模块。

At last , this paper uses special assemble language of DSP to program the heart sound signals . The procedure has three modules : the wavelet module , the mathematic morphology module , the amplitude extraction module .

本文介绍数学形态学从地图扫描数据中提取GIS空间数据的原理和方法，形态变换与幅射分析结合提取非空间属性数据、空间与非空间数据的连接方法。

This paper proposes a method of using mathematical morphology to extract spatial data from scanned map data . The combination method of morphological transformation arid radiation analysis , and the linking between , spatial and non-spatial data are also described .

在数学形态学基础上，结合心电图自身特点提出了一种顺序极大值筛选法来提取R波峰；最后选择径向基（Radialbasisfunction）支持向量机进行识别分类。

The algorithm was mainly on the basis of mathematical morphology , combined with ECG own characteristics to propose a sequential screening method for maximum value to extract the R-peaks ; and finally classified beat types by selecting Radial Basis Function for Support Vector Machine .

根据待识别图像中多个仪表的特点，运用边缘检测技术、数学形态学方法、连通域标记法等来定位出多个仪表待识别字符串区域，并运用BP神经网络来识别。

According to the features of multi-instrument regions in the images to be recognized , we have located the multi-string regions with the methods of edge checking , mathematic morphology and connected-through field mark and employed BP NN to recognize them .

本文以FPGA为平台，使用VHDL硬件描述语言设计并实现了中值滤波、顺序滤波、数学形态学、卷积运算和高斯滤波等图像处理算法。

This thesis consists of designing and implementing of digital image algorithms such as median filter , rank order filter , morphological operators , convolution and gaussian filter using FPGA in standard hardware description language VHDL .

在利用数学形态学方法提取目标对象并调整了区域像素的灰度值的基础上，以图像的Hu不变矩作为形状特征，构造检索框架，并进行图像检索。

On the base of detecting targets and adjusting pixel gray value , use the invariant moment of image for the shape characteristic and construct the retrieval frame , then realize image retrieval . 3 .

本文提出一种基于数学形态学的心音包络提取方法，并在提取出的心音包络信号中识别第一心音（S1）与第二心音（S2）。

This study put forward a heart sound envelope detection method based on the mathematical morphology . Then on the heart sound envelope , S1 and S2 were recognized .

该算法首先通过数学形态学消除高空间分辨率遥感影像的噪声，然后采用Canny算法进行边缘检测。

Firstly mathematical morphology was used to eliminate nosie of high spatial resolution remote sensing image in the algorithm , and then the Canny was used for edge detection .

阐述了本文所采用的一些相关算法理论，包括水平集方法、数学形态学、C-V模型及核模糊C均值聚类（KFCM）算法等。

It has introduced some related algorithm theory , including the level set method , mathematical morphology , C-V model algorithm , kernel fuzzy c-means clustering algorithm .

利用数学形态学工具配准人脑MR-PET图像

Human brain MR-PET image registration using mathematics morphological tools

然后，根据图像的HSI彩色直方图或者灰度直方图的特点，利用图像并行区域分割技术或基于数学形态学知识，将目标从背景中分离出来。

Then making use of parallel-region segmentation and mathematical morphology , we can easily separate objectives from background according to histogram characters of HSI model or gray scale .

并且围绕这三个关键技术展开研究，将形态Haar小波和数学形态学理论引入到图像压缩方法的研究中，设计了全新的目标ROI检测算子，并根据分类编码思想设计了分类编码器。

And around these three key technologies , morphological Haar wavelet theory and mathematical morphology were used to algorithm study to design a new ROI detection operator , classified coder .