助手标题  
全文文献 工具书 数字 学术定义 翻译助手 学术趋势 更多
查询帮助
意见反馈
   hsv color model 在 自动化技术 分类中 的翻译结果: 查询用时:0.174秒
图标索引 在分类学科中查询
所有学科
自动化技术
计算机软件及计算机应用
无线电电子学
临床医学
电信技术
武器工业与军事技术
贸易经济
更多类别查询

图标索引 历史查询
 

hsv color model
相关语句
  “hsv color model”译为未确定词的双语例句
    For detect the scene around the robot, this article provide the technique grounded on color image segmentation and target location: divide the image with HSV color model; sort the segmentation result with fast image clustering;
    为了对机器人场景进行描述,本文提出了基于颜色的图像分割与目标定位技术:根据彩色图像的颜色特征对图像进行分割,运用快速聚类法对分割结果分类。
短句来源
    To solve this problem, a new algorithm for identifying specified color based on parameters H and V with HSV color model is proposed in this paper. This paper also introduces a fast algorithm for identifying the ball and robot vehicles which might be adjacent each other.
    因此使用色调 H和亮度 V作为识别颜色的参数 ,同时为了提高识别速度 ,作了一些改进 ,并提出一种橙色高尔夫球和机器人小车的快速识别算法 .
短句来源
查询“hsv color model”译词为用户自定义的双语例句

    我想查看译文中含有:的双语例句
例句
为了更好的帮助您理解掌握查询词或其译词在地道英语中的实际用法,我们为您准备了出自英文原文的大量英语例句,供您参考。
  hsv color model
Users of the HSV color model were the slowest in this experiment.
      
The HSV color model is known to satisfy this property.
      
This agent uses the HSV color model in combination with some statistical measures.
      
In our method, the HSV color model was chosen because of its compatibility with the human color perception.
      
As shown in Figure 4 using the L1 metric we obtained an improvement in retrieval accuracy by up to 8% when using the HSV color model.
      


MIROSOT is a complex competition game. Quickly and correctly identifying the position and the movement of the golf ball and robot vehicles is the foundation of making decision and control in winning MIROSOT competitions. In a MIROSOT system, the ball, robot vehicles and background are painted with specified colors, and these different specified colors will serve as indexes for identifying the moving objects. However, the RGB color data of a specified moving object are quite dispersive in different lighting...

MIROSOT is a complex competition game. Quickly and correctly identifying the position and the movement of the golf ball and robot vehicles is the foundation of making decision and control in winning MIROSOT competitions. In a MIROSOT system, the ball, robot vehicles and background are painted with specified colors, and these different specified colors will serve as indexes for identifying the moving objects. However, the RGB color data of a specified moving object are quite dispersive in different lighting circumstances. To solve this problem, a new algorithm for identifying specified color based on parameters H and V with HSV color model is proposed in this paper. This paper also introduces a fast algorithm for identifying the ball and robot vehicles which might be adjacent each other. The running experiments show that the algorithm is reliable and efficient.

机器人足球比赛是一项非常复杂的高技术对抗活动 ,其中快速准确地识别小球和机器人小车是决策及控制的基础 .在足球机器人视觉跟踪中 ,颜色信息是最主要的识别分割依据 ,由于 HSV模型更接近人眼对颜色的感知 ,在不同光照条件下 ,色调参数 H数值较稳定 ,比较适合用做识别处理的基础 .因此使用色调 H和亮度 V作为识别颜色的参数 ,同时为了提高识别速度 ,作了一些改进 ,并提出一种橙色高尔夫球和机器人小车的快速识别算法 .试验快速准确 ,证明了该算法的可靠性和有效性 .

Introducing the frame of NewNEU soccerrobot vision system, its key technologies were explicated including image correction, image segmentation and identification algorithm. The image distortion was solved by projection correction and geometric correction, and based on the characteristics of soccer robots, HSV color model was applied to set up color partitioner and color database to implement the partition of object images. A more reasonable and antijamming design was put forward by comparing...

Introducing the frame of NewNEU soccerrobot vision system, its key technologies were explicated including image correction, image segmentation and identification algorithm. The image distortion was solved by projection correction and geometric correction, and based on the characteristics of soccer robots, HSV color model was applied to set up color partitioner and color database to implement the partition of object images. A more reasonable and antijamming design was put forward by comparing and analyzing various representative color tag designs with a fast and relatively exact successive approximation algorithm given correspondingly for angular compensation.

简要概括了NewNEU足球机器人系统的视觉结构框架,对视觉系统的关键技术进行了详细介绍·关键技术包括图像矫正,图像分割和辨识算法·通过投影矫正和几何矫正,克服了成像系统本身存在的图像形变问题·根据足球机器人系统的特点,选择HSV颜色模型,用来构造分色器和建立颜色信息库,实现对图像目标的分割·讨论了各种色标设计方案,提出一种抗干扰性较强的色标设计方案,并给出了相应的辨识算法·

 
图标索引 相关查询

 


 
CNKI小工具
在英文学术搜索中查有关hsv color model的内容
在知识搜索中查有关hsv color model的内容
在数字搜索中查有关hsv color model的内容
在概念知识元中查有关hsv color model的内容
在学术趋势中查有关hsv color model的内容
 
 

CNKI主页设CNKI翻译助手为主页 | 收藏CNKI翻译助手 | 广告服务 | 英文学术搜索
版权图标  2008 CNKI-中国知网
京ICP证040431号 互联网出版许可证 新出网证(京)字008号
北京市公安局海淀分局 备案号:110 1081725
版权图标 2008中国知网(cnki) 中国学术期刊(光盘版)电子杂志社