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feature color
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  特征颜色
     Because the illumination of underwater environment changes tempestuously, fuzzy network is used to adjust threshold value of feature color dynamically.
     由于水下环境光照变化剧烈 ,使用模糊神经网络来动态调整特征颜色阈值 .
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  “feature color”译为未确定词的双语例句
     The ovary development is divided into stages I V according to the external feature, color, size, weight, SGD(sexual gland index), blood vessel's distribution, histological and cytobiological characters of oocyte.
     按卵巢的外形特点、色洋、大小、重量、成熟系数、血管分布状况等特征,并根据卵子发生的组织学和细胞学特点,将卵巢发育分为5期,本文报导第Ⅰ-Ⅳ期卵巢的发育。
短句来源
     The echocardiography of fetal Ebstein's anomaly was characterized by right atrial enlargement,displacement of tricuspid valve attachment point,the distance ratio of between cardiac apex and bicuspid valve attachment point and between cardiac apex and tricuspid valve attachment point exceeding(1.8),forming typical atrialized right ventricle feature,color blood flow indicating severe tricuspid regurgitation with low initial point,large area and slow speed(mean speed:(217.0)(cm/s).)
     胎儿三尖瓣下移畸形主要声像图表现为右心扩大,三尖瓣叶附着点下移,心尖到二尖瓣前叶附着点的距离与到三尖瓣隔叶附着点的距离比值≥1.8,形成典型房化右室特征; 彩色血流显示三尖瓣重度反流,其反流起源点低,反流面积大,但反流速度低,平均反流速度217.0 cm/s。
短句来源
     Due to the flexibility and uncertainly of the image information,the single feature color in the HSI color space can be fuzzed into color histogram vector under the fuzzified mechanism. Based on the Robust visual sampling clustering method,the fuzzy color histogram vector can be auto-clustered and the image can therefore be well matched in the color space.
     鉴于图像信息固有的复杂性和不精确性,引入了模糊化的机理对HSI颜色模型的颜色信息进行模糊量化,得到关于颜色特征的模糊直方图,并应用Robust的视觉采样聚类方法对其进行聚类和匹配,取得了较为满意的结果。
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  feature color
These programs feature color power point slides accompanied by the live voice of the instructor as people from all over the state participate at once.
      


This paper discusses how to recognize and locate pipeline accurately by vision in underwater environment. An underwater vision system is presented. The object′s color is the feature when the object be recognized. And the color is transformed from RGB space to HSI space, which improves speed of image processing and robustness of feature extraction. Because the illumination of underwater environment changes tempestuously, fuzzy network is used to adjust threshold value of feature color dynamically. The paper...

This paper discusses how to recognize and locate pipeline accurately by vision in underwater environment. An underwater vision system is presented. The object′s color is the feature when the object be recognized. And the color is transformed from RGB space to HSI space, which improves speed of image processing and robustness of feature extraction. Because the illumination of underwater environment changes tempestuously, fuzzy network is used to adjust threshold value of feature color dynamically. The paper analyzes location of point and line in underwater environment in detail, and offers an algorithm of location. Experiment results show that the method can achieve quite precise location effectiveness.

本文论述了在水下环境下如何通过视觉识别管线并给以精确的定位 .提出了水下视觉系统的总体设计方案 .在识别目标时 ,以目标的颜色为特征 ,并将颜色从 RGB空间转换到 HSI空间 ,使图像处理的速度和特征抽取的鲁棒性得到提高 .由于水下环境光照变化剧烈 ,使用模糊神经网络来动态调整特征颜色阈值 .对水下环境中点和线的精确定位进行了详细的分析 ,给出定位算法 .最后的实验结果证明了算法的有效性

By the growing of image database and Internet,multimedia data grow startling.How to manage and index these data becomes a current urgent question.Image retrieval technology is introduced in this area.In this paper a new image retrieval system based on object named as Basestar is discussed.Many image retrieval systems pay more attention to the whole image features.However Basestar system pays more attention to human perception.Basestar can segment the object based on the user's perception.Based on...

By the growing of image database and Internet,multimedia data grow startling.How to manage and index these data becomes a current urgent question.Image retrieval technology is introduced in this area.In this paper a new image retrieval system based on object named as Basestar is discussed.Many image retrieval systems pay more attention to the whole image features.However Basestar system pays more attention to human perception.Basestar can segment the object based on the user's perception.Based on the segmentation result,the image features-color and shape of the segmentation result are extracted to compose of image feature vector.By the experiment Basestar system has better retrieval performance.

图像检索是近年为适应国际互连网以及图像数据库高速发展而出现的一门新技术。该文建立了一个基于对象的图像检索系统-Basestar。该系统针对传统图像检索方法偏重图像整体特征,忽略用户对图像感知等缺点,采用用户参与方式,自动准确分割对象,并在此基础上利用对象颜色和形状特征对图像实现检索。实验结果表明该系统取得了良好的检索效果。

Objective To investigate the functional activation patterns during two types of visual search tasks in Alzheimer′s disease (AD) with functional MRI, and probe the neuro-anatomic basis of visual attention. Methods 13 patients with AD and 13 sex and age-matched healthy subjects participated in the experiment designed with two visual search tasks. The first was a “pop-out” single feature task, detecting a vertical target among horizontal distrators, and the second was a conjunction task where the target was...

Objective To investigate the functional activation patterns during two types of visual search tasks in Alzheimer′s disease (AD) with functional MRI, and probe the neuro-anatomic basis of visual attention. Methods 13 patients with AD and 13 sex and age-matched healthy subjects participated in the experiment designed with two visual search tasks. The first was a “pop-out” single feature task, detecting a vertical target among horizontal distrators, and the second was a conjunction task where the target was defined by conjunction of feature (color and orientation) and the performance depended on some shifting of attention. The fMRI data were collected by Siemens 1.5T Sonata magnetic resonance imaging (MRI) system and analyzed by Statistical Parametric Mapping software (SPM 99) to generate the activation map. Results AD patients had a particular impairment in the conjunction task but not in the single-feature task. Although both groups revealed overlapping networks engaged in the conjunction tasks including the superior parietal lobule (SPL), frontal and occipitotemporal cortical regions (OTC), primary visual cortex and some subcortical structures, the most pronounced difference between them was found in bilateral SPL (more activities in the controls) and right OTC (more activities in the patients). The difference between the 2 groups was small in the pop-out condition. Conclusion AD particularly affects those mechanisms controlling spatial shifts of attention. Some additional remote activation (ventral visual stream and temporal lobe) can be interpreted as dynamic reallocating of brain functional resource.

目的采用功能磁共振成像(fMRI)方法研究阿尔茨海默病(AD)患者在完成视觉搜索任务时脑活动情况,探讨相应的神经解剖基础。方法13例临床诊断可能为AD的患者和13名年龄、性别与之相匹配的健康老年人参加了视觉搜索(单特征任务和联合特征任务,两者的差别在于后者需要注意转换)的实验测试,同时采用西门子Sonata1.5T成像系统,采集其脑部功能成像的数据,通过功能神经成像分析软件SPM99进行统计分析得到脑功能活动的图像。结果AD组在联合特征任务中有特定的缺陷,而在单特征任务时相对保持完好。2个研究组在联合特征搜索任务下的脑激活模式相似,包括顶叶、额叶和颞枕交界区、原始视皮层和皮层下结构,但不同脑区的激活强度和范围明显不同,表现为AD组双顶叶激活减少,而右侧颞枕交界区激活增加;在单特征任务下组间差异很小。结论AD组控制注意转换的神经机制有明显缺陷,AD组远隔部位其他脑区(腹侧视觉通路和颞叶)的激活,反映了脑内功能资源的动态性再分配。

 
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