查询词典 segmentation-sphere

A new signed distance function initial method for image segmentation model based on level set approach is proposed.

对基于水平集的图像分割模型提出了一种新的初始化符号距离函数的方法。

Face detection system A new design of face detection system is proposed based upon color-based skin-like region segmentation and neural network-based face distinguishment.

人脸检测系统在对基于颜色的皮肤区域分割和基于神经网络的人脸判别方法进行研究的基础上，本文提出一种新的人脸检测系统设计。

To overcome the drawback,a method of improved watershed segmentation algorithm is proposed in this paper.

为了克服这种缺点，本文提出了改进的图像分水岭分割的方法。

In this paper,we proposed a method for extracting the texture features in transform domain based on Dual Tree Complex Wavelet Transform,and applied it to unsupervised textured image segmentation.

以对偶树复小波变换为基础，提出了一种提取纹理图像变换域统计特征，进而实现图像非监督分割的方法。

Dual tree complex wavelet transform ; Texture image segmentation ; Markov random field ; Bayesian estimation

对偶树复小波变换；纹理图像分割；马尔可夫随机场；贝叶斯估计

A supervised texture image segmentation algorithm based on dual tree complex wavelet transformand Markov random fieldmodel is proposed. The algorithm consists of two steps. First, the complex transform coefficients are statistically modelled

基于对偶树复小波和马尔可夫随机场模型提出了一种监督纹理图像分割算法，算法包括两个步骤，首先对复小波变换系数进行较为精确的建模，提取其一阶统计信息作为纹理特征，综合多个尺度的信息，基于极大似然标准进行初始分割

It solves the problem that the unitary contour presentation can not correctly extract face contour in a face image which suffers from scale, rotation etc. The definition of the internal and external energy function is provided. At the same time, the global matching algorithm and local matching algorithm is given. The experiment shows that this presentation and the accompanying matching algorithm can be used to extract the face contour very well. So the image segmentation can be implemented by using it.②By analyzing the recognition principle of PCA method, we can conclude that the face images coming from different surrounding consist of different face image space. This is the essential reason that makes the generality of PCA method worse. Also, we give a measurement means to measure the distance from different face image space, so we can analyze face image space more conveniently.③We also construct various scale models and rotation pose models to detect the scale and rotating angle of face image to be recognized. The experiment results show that the detecting precision is very high. So it is good for face image feature extraction and face image representation.④Similarly, we construct local feature models of face image and utilize them to detect the local feature of face image. At the same time, we put forward a novel face image local feature detection algorithm, locating step by step. The experiment results show that this method can accurately detect the location of local face feature in a image.⑤A novel face image presentation model, dual attribute graph , is put forward. Firstly, it utilizes attribute graph to present the face image, then exact the local principal component coefficient and Gabor transform coefficient of thc pixels which corresponds to the nodes of the graph as the attribute of the nodes. This representation fully makes use of the statistical characteristic of the local face feature and utilizes Gabor transform to present the topographical structure of face image. So DAG has more general property.⑥Based on the DAG presentation, we give a DAG matching function and matching algorithm. During the design of the function and algorithm, the noise factor, e. g., lighting, scale and rotation pose are considered and tried to be eliminated. So the algorithm can give more general property.⑦A general face image recognition system is implemented. The experiment show the system can get better recognition performance under the noise surrounding of lighting, scale and rotation pose.

本文在上述研究的基础上，取得了如下主要研究成果：①构造了一个通用的人脸轮廓模型表示，解决了由于人脸图象尺度、旋转等因素而使得仅用单一轮廓表示无法正确提取人脸轮廓的问题，并给出了模型内、外能函数的定义，同时给出了模型的全局与局部匹配算法，实验表明，使用这种表示形式以及匹配算法，能够较好地提取人脸图象的轮廓，可实际用于人脸图象的分割；②深入分析了PCA方法的识别机制，得出不同成象条件下的人脸图象构成不同的人脸图象空间的结论，同时指出这也是造成PCA方法通用性较差的本质原因，并给出了不同人脸空间距离的一种度量方法，使用该度量方法能够直观地对人脸图象空间进行分析；③构造了各种尺度模板、旋转姿势模板以用于探测待识人脸图象的尺度、旋转角度，实验结果表明，探测精确度很高，从而有利于人脸图象特征提取，以及图象的有效表示；④构造了人脸图象的各局部特征模板，用于人脸图象局部特征的探测；同时提出了一种新的人脸图象局部特征探测法---逐步求精定位法，实验结果表明，使用这种方法能够精确地得到人脸图象各局部特征的位置；⑤提出了一种新的人脸图象表示法---双属性图表示法；利用属性图来表示人脸图象，并提取图节点对应图象位置的局部主成分特征系数以及Gabor变换系数作为图节点的属性，这种表示方法充分利用了人脸图象的局部特征的统计特性，并且使用Gabor变换来反映人脸图象的拓扑结构，从而使得双属性图表示法具有较强的通用性；⑥在双属性图表示的基础上，给出双属性图匹配函数及匹配算法，在函数及算法设计过程中，考虑并解决了光照、尺度、旋转姿势变化等因素对人脸图象识别的影响，使得匹配算法具有较强的通用性；⑦设计并实现了一个通用的人脸图象识别系统，实验结果表明，该系统在图象光照、尺度、旋转姿势情况下，得到了较好的识别效果。

In view of the existing algorithm that is unable to take better account of the network connectivity and the attributes of individual nodes comprehensively, the limitation of the typical algorithms of agglomerative and divisive clustering was analyzed, thus defining conceptually the edge loading, edge weight, connectivity threshold and graph segmentation.

由于当前的算法不能很好地将网络的联通性和单个节点的属性综合考虑，分析了凝聚和分裂层次聚类经典算法的局限性，从而给出边的载荷、边的权重、连接度门限、图形分割等定义。

Through the segmentation of the spatial box bounded by point cloud, efficient extraction of boundary information is implemented.

通过对点云数据进行空间三维划分，实现了边界信息的高效提取。

On the basis of introduction of the elementary principles and features of Particle Swarm Optimizational- gorithm,a new multi-thresholds segmentation method based on PSO is proposed.

在对粒子群优化算法的基本原理和方法进行简要概述的基础上，提出了一种基于粒子群的多阈值图像分割算法。

Smoking cigarettes adds to the Computer Desk Computer manufacturer computer mouse Computer Computerized collar knitter machine Conduit Bodies construction board Container Bag Control Arm Cooking Thermometer general levels of air pollution as well as damaging our health.

吸烟不仅对健康有害，而且增加空气污染程度。香烟雾含有多种有害物质：不仅有致癌化学物质、有某种能阻止氧气进入血液的气体，还有引起血压增高、心速加快的被称为尼古丁的物质。

He is one of my favorite actors.

他是我最喜欢的男演员之一。