统计模式识别 meaning in English
statistic pattern recognition,
statistical pattern recognition
Examples
- Statistical pattern recognition methods have been successfully applied to many object recognition problems . one typical example is face recognition , which is the one of the most important fields in patt6rn recognition
统计模式识别方法已经成功地应用到很多目标识别问题中，一个经典的例子就是人脸识别，这是模式识别领域的一个重要研究方向。 - By projecting feature vector to every class subspace , the character can be determined to one class in accordance with the projecting length . this is the difference between subspace method and other statistic methods
在分类决策时，将样本特征矢量向各类别子空间投影，由投影长度判别样本归属，这也是子空间方法与其它统计模式识别方法的不同之处。 - A survey of character recognition methods is presented in chapter 3 . comparison of some extracted feature matching algorithms based on statistical pattern recognition is conducted . these features are profile , mesh and projection of micro structure for distinguishing similar characters
作者对车牌汉字识别的特征提取方法进行了研究，首先比较了多种基于统计模式识别的特征提取匹配算法，包括外围面积特征，网格特征和用于区分相似汉字的微结构投影特征。 - In theory , based on the characteristic detection probability model of sar image , the ability of distinguishing two connected resolution unit and detecting point target is discussed firstly . then we do conclude that the high precision classification algorithms can build up based on pixel level , which combine three characteristics : the main characteristic ( the rcs statistical distribution ) , two assistant characteristics ( the shadow and structure model ) . secondly , the practical problems of the three pattern classification technologies ( statistical pattern recognition , neural network , fuzzy neural network ) for the sar image are analyzed
在此基础上，结合sar图像其它固有特性研究，提出了以rcs的统计分布特性作为主要特征，阴影和高分辨率条件下的区域结构特征作为提高分类精度的辅助特征，并将二者有机结合起来进行分类方法研究的思路；分析了统计模式识别、神经网络和模糊技术应用到sar图像地物分类中需要解决的实际问题；提出了在图像域对sar图像质量指标近似计算和分类率的具体评估方法。 - The main research includes the following area : image acquisition , image pre - processing , image segmentation , object recognition . an new segmentation method based on quasi - circular assumption and an new object recognition method based on scanning are present . owing to the simple addition , subtraction and logic operation , these two methods have real time property
根据所处理图像的实际特点，文中提出了一种新的基于类圆的粘连体分割方法和基于统计模式识别的类圆识别方法，由于该算法主要的运算为加法、减法和逻辑运算，从而保证了算法的实时性。