Secondly , we review the segmentation methods of image integrated with texture information , and then we make a texture analysis on a human liver ct image through texture feature parameter based on co - occurrence matrix 接着分类研究了纹理图像的分割方法,并针对医学图像,特别是人体内脏的医学图像所包含的纹理信息的特点,利用共生矩阵及其各种纹理特征参量对一幅人体肝脏的ct图像进行了纹理分析。
Based on the result , a region - growing algorithm is proposed , through extracting texture parameter that based on co - occurrence matrix from image . this method makes use of gray and texture information . finally , the method is implemented by program language 基于这一分析结果,本文利用灰度共生矩阵及其特征参量,提取图像的纹理特征,并利用所提取的纹理特征设计一种结合灰度和纹理特征的区域增长算法以实现纹理图像的分割。
Based on different texture of the face and the inverse of leather , this paper extracted characteristic vector of the face and the inverse of leather using co - occurrence matrix and classified the face and the inverse of leather using fisher classifier and nn base on characteristic vector 由于皮革正面和反面具有明显不同的纹理特征,本文用共生矩阵提取皮革正反面的纹理特征,并根据提取的特征向量采用分类器对皮革正反面进行自动识别和分类。
The " preferring " method , on the other hand , generates semantic restricted rules for each sense - atom according to the co - occurrence sets obtained from a large corpus . this method makes the evaluation of a word by comparing its sense environment and the restricted rules 排歧模型首先利用大规模的语料库获取义原的同现集合,并根据转换模板构造出义原的初始限制规则,再通过手工的方式对初始规则进行修改与调整,以得到一个较完善的规则集。
The analysis of twenty - two pieces of deceptive confessions shows that five kinds of verbal cues occur with a notable higher frequency than the others in deceptive confessions , the co - occurrence of which well reveals the psychological states and processes of the lying suspects 本研究通过对二十二篇虚假供词语篇的分析发现:五种欺骗的语言线索出现的频率显著高于其他线索;这五种语言线索在虚假供词中同时出现的情况清楚地揭示了撒谎者的心理状态和过程。
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.