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。
First the sampled image is preprocessed , then five features are extracted from the image preprocessed based on spatial gray level co - occurrence matrix , at last the method of measuring and analyzing of skin texture is proved valid through the result of test of training , classifying and recognizing for skin texture images based on tfbp network 首先对采集到图像进行预处理,然后采用空间灰度共生矩阵法提取纹理图像的5个特征,最后通过tfbp网络对皮肤纹理图像的训练与分类识别实验结果很好的证明了这种纹理分析与测量方法的有效性。
In this paper , we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification . the research works of this paper have been done as follows : firstly , in order to overcome the weakness of gray level co - occurrence matrix ( glcm ) , a new unsupervised texture segment algorithm , based on multi - resolution model , is presented in this thesis 本文主要研究了基于纹理统计特性的特征提取与分割方法,并将其用于实际的多光谱图像分类,具体工作如下:第一,针对传统灰度共现阵方法中特征提取的尺度单一问题,本文提出了一种多分辨无监督纹理分割算法。
Discovery of association rules is an important class of data mining whose aim is to capture the co - occurrences of itemsets , the most important thing to do is to find the large itemsets effectively , because this is time consuming and will finally decide the efficiency of algorithms . so now the main study is emphasized on how to find the large itemsets with more and more few time 关联规则是从历史的大规模的数据中获得项集之间的相互关联关系,抽取出有用的和感兴趣的模式,主要任务是发现数据库中的大项集,因为这个任务在大规模数据库基础上是耗时的操作,所以现在的主要研究方向都集中在大项集的有效生成上。
the temporal property of two things happening at the same time; "the interval determining the coincidence gate is adjustable" 同义词:concurrence, coincidence, conjunction
Co-occurrence or cooccurrence is a linguistics term that can either mean concurrence / coincidence or, in a more specific sense, the above-chance frequent occurrence of two terms from a text corpus alongside each other in a certain order. Co-occurrence in this linguistic sense can be interpreted as an indicator of semantic proximity or an idiomatic expression.