数学形态学是数字图像处理当中的一个重要内容，它为图像处理的实现提供很有力的方法。
Mathematical morphology is an important element of digital image processing, and it provides for the realization of image processing very powerful method.
图像处理中采用了数学形态学、差值法、超限领域平均法以及连通域识别与标记算法来实现客流信息的提取。
In image processing, mathematical morphology, frame difference, ultra limits domain method of average and labeling of connected domain is introduced essentially.
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.
数学形态学广泛应用于图像处理和模式识别领域。
Mathematical morphology is applied widely in image processing and pattern recognition.
介绍了一种新型的图像处理和分析理论——数学形态学的基本运算方法和应用。
This paper first introduces Mathematical Morphology that is a new theory in Image Processing and Analysis, including basic operators and application and so on.
本文介绍了一种应用数学形态学对粒子图像进行预处理的方法，并与维纳去噪、中值滤波去噪进行了对比。
Mathematical Morphology on the pre-processing particle-image, and the results were compared with that of Wiener and median filter.
为了从红外热图像中识别和跟踪目标，提出了一种采用数学形态学和小波变换相结合的红外图像处理新方法。
In the purpose of recognizing and tracking targets from infrared thermal images, an infrared image processing algorithm based on mathematical morphology and wavelet transform was presented.
利用数学形态学对含有胎儿头部轮廓的医学图像进行预处理，提取近似圆形的胎儿大脑轮廓的骨架。
Medical Images including head outline are preprocessed by using mathematical morphology, and the skeleton of fetus' head outline with an approximate rotundity can be extracted.
数学形态学被广泛应用于信号与图像处理。
Mathematical morphology has been widely applied to signal and image processing.
数学形态学是利用形态特征进行信号分析的工具，通过改变信号中目标的形态特征来对目标图像进行各种处理。
Mathematical morphology is a tool of the signal analysis in terms of shape, and it can carry on many kinds of processing by changing the shape of objects within the signal.
为此提出了一种基于数学形态学的水声图像处理方法，该方法采用广义形态开闭变换等形态学方法进行图像处理。
In this paper, a method of underwater acoustic image processing based on mathematical morphology with broad-sensing open-close or so is proposed.
介绍了数学形态学的基本运算及数学形态学在图像处理中的主要应用，并讨论了结构元素的选取方法。
Introduce the basic operation of mathematical morphology and application in image processing, and the method of selecting structure element.
对采集的道路图像中的障碍物进行边缘检测，其过程为：道路图像预处理、二值化、边缘检测和数学形态学处理。
The text does obstacle detection for the picked image. The process contains pretreatment, denary, lane detection and mathematical morphology in road image.
在此基础上选择数学形态学滤波方法，设计了基于帧间差分法的数学形态学图像滤波处理算法，并设计了算法的程序流程。
The mathematical morphological filtering technique based upon frame difference method has been push forward and the basic program flow chart for this algorithm is also set forth.
针对图像去噪和保护有用信息这个矛盾，阐述了数学形态学在处理这个问题的方法和有效性。
There is a contradiction between image denoising and protection of the useful information in the image. To deal with this contradiction, we use the approach of mathematical morphology.
数学形态学用具有一定形态结构的“结构元素”去度量图像的形态，以解决图像处理和分析问题。
Mathematics morphology USES the structural element that has structure form to detect the morphology of im-age, in order to solve the problem in image processing and analysis.
数学形态学是基于非线性理论的图像分析处理方法，已广泛应用于图像处理和模式识别中。
Mathematical morphology is a method of image analysis and processing based on the non-linear theory, and widely applied in image processing and pattern recognition.
数学形态学是基于非线性理论的图像分析处理方法，已广泛应用于图像处理和模式识别中。
Mathematical morphology is a method of image analysis and processing based on the non-linear theory, and widely applied in image processing and pattern recognition.
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