同时，得出了一种新的视觉特征提取算法。
In the meantime, a new visual feature extraction algorithm is derived.
参考MPEG - 7标准，研究了视频视觉特征提取方法。
Reference to MPEG-7 standards, mainly researches feature extracting schemes of video visual information.
因而，一开始即简要介绍了图像分割算法以及基本的图像视觉特征提取方法。
Thus, image segmentation algorithm and image visual feature extraction method are briefly introduced at the beginning of this paper.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
然后利用图像分析技术，采用基于边缘的图像分割方法，提取图像的主体区域并进行视觉特征提取与（分类）识别。
Then we use the technology of image analysis and image division based on the edge to extract the main object and to recognize (classify) the visual characteristic.
人脸面部特征提取是自动视觉翻译和人脸识别中的最关键的技术之一。
Facial features extraction is one of the essential techniques in automated visual interpretation and recognition of human faces.
图像的边缘特征提取一直是计算机视觉领域里最重要的和最基本的研究任务之一。
The edge feature extraction of images has always been one of the most important and the most basic research tasks in the field of computer vision.
机器人视觉系统主要包括数字图像的获取、图像的预处理、特征提取和图像识别几部分。
Functionally, a robot vision system contains the following processes: the obtaining of digital image, the image pre-processing, character extraction and image identification.
提出了基于人类视觉系统的自然场景图像颜色和纹理特征提取方法。
A nature scene image color-texture feature extraction method based on human visual system (HVS) was proposed.
介绍了搭积木机器人机器视觉系统的特征提取算法。
A feature extraction algorithm for module-player robot′s machine vision system is presented in this paper.
融合图像更适合人的视觉和便于图像的后续处理，如图像分割、特征提取等。
The fusion image is more suitable for human visual perception and the other image processing, such as image segmentation, feature extraction and object recognition.
该文中缺陷检测方法和特征提取方法的采用，使该计算机视觉系统节省了时间，提高了精度。
The computer vision system using the presented defect detection method and image extraction technology can save time and raise precision.
它涉及到生物特征提取、计算机视觉、图像处理、模式识别和身份认证技术等诸多领域。
Ear recognition involves many domains such as feature extract, computer vision, image processing, pattern recognition and identity authentication etc.
本文对双目视觉目标定位所涉及的摄像机标定、特征提取及立体匹配等关键技术进行研究。
In this thesis, the key technologies such as camera calibration, feature extraction and stereo matching involved in binocular vision were studied.
因此特征提取成为模式识别与计算机视觉等图像处理相关领域的基础性研究内容。
Thus, feature extraction has become the basic research of the related areas of image processing such as pattern recognition and computer vision.
在基于机器视觉的空间飞行器相对定姿研究中，特征提取算法是相对定姿的基础。
In the research of relative pose for spacecrafts based-on machine vision, the feature extraction algorithm was the basis of relative pose.
提出了各异性成形加工的概念，介绍了应用机器视觉技术在各异性成形加工中进行特征提取的理论和方法。
This paper presents the concept of mutually-different formed processing, and introduces the theory and method of the feature extracting in it, using machine vision.
为了提高变化光照下视觉特征的识别能力，提出一种光照自适应的特征提取方法。
To improve identification ability of visual features when illumination varies, the feature extracting method of self-adaptive illumination based on fuzzy control was proposed.
人脸识别是模式识别和机器视觉领域中的一个重要课题，其中，特征提取是人脸识别中的一个重要部分。
Face recognition is an important problem in the field of pattern recognition and robot vision. And Feature Extraction is an important part of it.
对于由全景视觉系统采集到的全景图像，本文采用对光线不敏感的HSI颜色模型进行颜色标定，利用游程编码进行图像分割，并在此基础上进行球、球门、角柱和白线的特征提取。
The HSI color model is not sensitive to light, so we can use it for color calibration, image segmentation by run-length code, and objection recognition to the ball, goal, and the white lines.
边缘提取在图像分割、纹理特征提取、形状特征提取、图像识别、计算机视觉等方面的重要性十分突出。
Edge detection is very significant in the domain of image fragmentation, texture detection, computer view and so on.
双目立体视觉技术的实现可分为图像获取、摄像机标定、特征提取、立体匹配和三维重建几个步骤。
The binocular stereo vision system is composed of following technologies:capture of images, camera calibration, image pre-processing and feature detection and 3D calculation.
视觉交互是自然人机交互的重要组成部分，而人脸特征提取则是视觉交互成功的关键。
Vision interaction is one of important aspects of human-computer interaction, and the facial feature extraction is crucial to vision interaction.
视觉交互是自然人机交互的重要组成部分，而人脸特征提取则是视觉交互成功的关键。
Vision interaction is one of important aspects of human-computer interaction, and the facial feature extraction is crucial to vision interaction.
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