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A extraction and tracking of the contour of gastric antrum in the ultrasound sequence images based on active contour models is presented in this paper.

本文提出了一种基于活动轮廓模型的胃窦B超序列图象边缘轮廓的提取与跟踪方法。

The dissertation aims at automatic target recognition in images. For that purpose, a variety of algorithms proposed by the dissertation have been used in different stages of image recognition, which deal with image segmentation, boundary feature point extraction, curve feature extraction, object invariant representation and recognition.

本论文的研究目标是实现图象中目标的自动识别,为此,论文围绕图象识别的各阶段,研究了图象分割、轮廓特征点提取、曲线特征提取、物体的不变性表征及识别等。

Moreover, a boundary length normalized energy function is designed to describe the building boundary. The boundary extraction is implemented by a global optimization of the function on a graph.

另外,设计了一种长度归一化的能量函数来描述建筑物轮廓,并运用图优化算法全局寻优,实现对建筑物轮廓的提取。

System speaking of the Master CAM, first must establish the components the geometry model, according to the components actual size, draws its processing part the contour line, does not need to draw the entire components the model, guaranteed the computation production the cutting tool way coordinates accuracy, and may use the Master CAM Chinese Library level the function, when determination cutting tool way, transfers or the hideaway, the selective treatment needs contour line; Next, the formulation processing craft and the definite craft parameter, chooses the cutting tool, the processing semi finished materials, the work piece origin of coordinates again and so on, establishes the work piece coordinates system, definite work piece coordinate system and engine bed coordinate system relative size, thus obtains the components processing correct cutting tool way; Finally, the simulation function which system provides using the Master CAM, the realization simulation processing.

对于Master CAM系统而言,首先要建立零件的几何模型,根据零件的实际尺寸,画出其加工部分的轮廓线,无需画出整个零件的模型,以保证计算生成的刀具路径坐标的正确性,并可利用Master CAM中图层的功能,在确定刀具路径时,加以调用或隐藏,来选择加工需要的轮廓线;其次,制定加工工艺并确定工艺参数,再选择刀具、加工毛坯、工件坐标原点等,建立工件坐标系统,确定工件坐标系与机床坐标系的相对尺寸,从而得到零件加工的正确刀具路径;最后,利用Master CAM系统提供的仿真功能,实现模拟加工。

The outline as stored in a font file is called the "master" outline, as its points coordinates are expressed in font units. Before it can be converted into a bitmap, it must be scaled to a given size/resolution.

存储在一个字体文件中的轮廓叫"主"轮廓,它的点坐标用字体单元表示,在它被转换成一个位图时,它必须缩放至指定大小。

The research in this dissertation is based on reconstructed CT images. Basic knowledge of forensic anthropology and some feature exaction methods have been studied. The main work includes: 1. The contour of skull, orbit and its contour, the curve of submaxilla have been selected as the important characteristics of the skull.

本文以颅骨CT重建图的二维正面图像为研究对象,结合法医人类学中的相关知识对识别过程中的关键算法进行研究,主要工作包括以下几个方面: 1:针对课题研究需要,选择并提取颅骨轮廓、眼眶及其轮廓、下颌角曲线作为颅骨重要特征。

In this paper,the updated Snake model is used to solve the echocardiography processing.Based on the updated active contour model,the contour points for two-dimensional slice serial of echocardiography are gotten.On this basis,through calculating the distance between the contour points of each two-dimensional slice and the center axis lines,the distance matrix from the four cambers of the ventricle to the center plane of ventricle are gotten.And through interpolating,smooth handling and filtering,the 3D endoscopic surface of ventricle is fitted out.Besides,in the medical measurements field,the slice area of ventricle and the volume of ventricle are measured,and the trend of slice area is also analyzed.

将改进的Snake模型应用于心脏超声波图像处理:基于改进Snake模型的思想,得到了心脏超声波图像二维切片序列的轮廓点,在此基础上,得到分割出的心室上下左右4个曲面上轮廓点到中心平面的距离矩阵,并通过插值和平滑处理以及滤波处理工作,拟合出心室的三维曲面图,取得了较好的效果;在医学测量方面,对心室的切片面积、变化趋势及心室的体积进行了测量。

First, to reduce the difficulty of handcrafting initial contour for Snake, the authors introduce the pretreatment procedure.

0引言 本文采用改进的Snake动态轮廓线生成算法来提取彩色图象中物体的轮廓线。

The forecast algorithm is based on the peculiarity of 3 imag es i.e the deformation of the contour along the space or time axis is continuous in 3 imag es . The forecast algorithm analyz es the trend of the deformation of the contour in the segmented imag es , then prognosticates the location and the shape of the contour in the next image .

三维图像中物体的轮廓沿着空间轴或时间轴的位移和形变是连续的,该算法根据这一特性,利用前几幅图的分割结果来预测当前图像中物体轮廓的位置和形状,弥补了主动轮廓模型搜索范围小的缺点。

The forecast algorithm is based on the peculiarity of 3D imag es i.e the deformation of the contour along the space or time axis is continuous in 3D imag es . The forecast algorithm analyz es the trend of the deformation of the contour in the segmented imag es , then prognosticates the location and the shape of the contour in the next image .

三维图像中物体的轮廓沿着空间轴或时间轴的位移和形变是连续的,该算法根据这一特性,利用前几幅图的分割结果来预测当前图像中物体轮廓的位置和形状,弥补了主动轮廓模型搜索范围小的缺点。

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