In this paper , combined with vanishing point geometrical restriction given by the aerial photogrammetric modeling , a method for extracting vertical lines based on the adaptive fuzzy hough transform is presented . then the extracted vertical lines are validated by analyses of window texture 本文结合航空摄影模型给出的灭点几何约束，利用自适应模糊hough变换，提出了一种建筑物垂直边缘检测方法，并用窗户纹理分析技术来验证高层建筑物的垂直边缘。
The main content in this paper is how to get information of joints when matching accuracy and how to use it in kinetic analysis system . a better algorithm ass depended on fss is introduced accompanied by a new matching criterion relied on texture 通过对已有算法的分析，根据人体运动解析系统的实际需要，提出了一种新的基于图像纹理分析的匹配准则，此外在四步运动矢量查找算法( fss )的基础之上提出了一种效率更高，查找更准确的自适应步数查找算法( ass ) 。
The three steps included in the algorithm are license plate segmentation , which consists of rough segmentation and accurate segmentation , character segmentation and character recognition . the rough segmentation transforms the original image into a texture image , and locates the plate - like areas through the intensity of textures in these areas , and thus finds out the only true plate area according to their gray vertical projection 对车牌定位，论文研究了纹理分析和灰度垂直投影相结合的粗定位算法，先把图像转换成纹理图，利用车牌区域纹理丰富的特点找到各个类似车牌的区域，然后对这些车牌候选区域采取垂直方向的灰度投影来判别真伪车牌，获得唯一的车牌区域。
After the discussion of several kinds of optimum threshold segmentation methods , a multi - feature vector space and three new criteria ( global comparison detection , geography priority privilege , equal opportunity for competence ) are developed for region growing control , a new region growing method is brought forward . at last the region splitting and merging , region clustering , neural networks , snake active contour model et al have been discussed 提出了全局比较探测、面积测定及空间优先、竞争机会均等三个有效的准则，利用灰度、纹理多特征矢量改进了传统的区域增长算法，并对纹理分析，神经网络分割和snake活动轮廓分割进行了有益的探索。
It shows a very good result . a color - binarization method is experimented and fount out in order to resolve the difficulty of localizing the border of car license plate . by seek the largest connection area , it remedies the shortcoming of texture analysis , make greatly contribution to the recognition rate 仔细研究了二值化的经典算法，并将它们在车牌识别系统的开发过程中灵活运用，取得了良好的效果；同时针对车牌边界定位难的问题，探索出了一种彩色二值化方法，并通过求最大连通区域来找车牌的边界，弥补了纹理分析的不足，有助于提高车牌的识别率。
This scheme covers techniques of texture analysis , synthesis , texture mapping and 3 - d knitting pattern analysis of fabric . we discuss here the techniques related to texture . texture analysis uses frequend - domain , wavelet or mrf to get feature distribution of texture image , classes of texel and the rule of placement 本实现方案涉及到纹理分析、综合，纹理映射，提花织物三维组织分析等技术，论文主要对与纹理相关的技术作一定的讨论，纹理分析运用频谱、小波分析或马可夫随机场建模纹理图像在空间上的分布特征，纹理基元的种类和其分布。
Among them the gray level co - occurrence matrix ( glcm ) and gray gradient co - occurrence matrix ( ggcm ) methods , which attributed to the statistic textural analysis scheme were then chosen to extract the textural features of five kind areas on satellite images . in the second part the principle of classification and bp neural network were introduced . combined with textural features , the improved bp neural network successfully performed on the classification of the satellite images 论文的第一部分介绍了进行纹理特征研究的一些典型的方法，利用其中的基于统计的纹理分析法中的灰度共生矩阵以及灰度一梯度共生矩阵法，分析了卫星云图上五类区域的纹理特性；第二部分主要介绍了遥感图像分类原理以及神经网络中的bp算法，在对算法原理进行深入理解的基础上，把纹理特征与神经网络进行组合，实现对卫星云图进行分类分析；第三部分内容是在前面图像分类结果的基础上，对序列图像用相关匹配法进行运动分析，反演云迹风风场。
