| 1. | Edge detection is considered a fundamental operation in image processing and computer vision
翻译：在图像处理和计算机视觉中，边缘检测是一种基本操作。 |
| 2. | Localization of an object in an image is always one of the most typical research topics in the fields of image processing and computer vision
在图象处理和计算机视觉研究领域中，目标物体的定位始终是一个值得探讨的问题。 |
| 3. | Research of digital image processing and computer vision is developing rapidly these days , and is widely used in civil and military applications
数字图象处理和计算机视觉是近年来发展十分迅速的研究领域,目前正广泛地应用于民用及军用等许多方面。 |
| 4. | Human motion tracking and analysis has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years
近年来，人体运动的跟踪与分析在图像处理与计算机视觉领域引起许多学者的关注。 |
| 5. | Image segmentation is the important and the basic problem in image processing and computer vision . the segmentation result has strong influence on the following recognition and interpretation
图像分割是图像处理中的重要问题，也是计算机视觉研究中的一个经典难题，图像分割质量的好坏直接影响后续的识别和理解。 |
| 6. | Moving objects detection and tracking is one of the most important issues in image processing and computer vision . object detection involves verifying the presence of an object in image sequences and then segmenting it precisely
运动目标的检测和跟踪技术一直是图像处理和计算机视觉的重要研究课题,运动目标检测就是判断图像序列中有无运动目标,并将其分割出来。 |
| 7. | In the research field of image processing and computer vision , object localization in color video sequences is one of the most active research topics in computer vision at present . wide application has been conducted in many fields
在图像处理和计算机视觉的研究过程中,彩色视频序列中目标物体的定位是当前计算机视觉领域中一项最活跃的研究课题之一,在诸多领域中得到广泛应用。 |
| 8. | Moving object detection and tracking is one of active branches of imaging processing and computer vision , which study how to extract moving object region , describe moving feature and match the object , and estimate the concerned moving parameter in serial video image
运动目标检测与跟踪是研究在序列图像中提取运动目标区域、分析运动目标特征和运动状态进行匹配与跟踪、估计有关运动参数的分析技术。 |
| 9. | With the development of computer and information technique , graphic , image processing and computer vision have been applied widely in virtual reality , artificial intelligence , mechanic vision , target recognition , etc . the main work in this thesis is shown as follows : 1
随着计算机技术及信息技术的飞速发展，近年来，图形、图像处理以及计算机视觉技术也取得了很大进展并广泛的应用于虚拟现实、人工智能、机器视觉、目标识别等领域。 |
| 10. | The image texture analysis provides the strong foundation for texture image classification , texture image segmentation and texture - based image retrieval , which are important research fields in the image processing and computer vision . they have been used in defect detection , medical image and remote sensing image analysis , document image segmentation , biometric identification and content - based image retrieval
图像纹理分析为纹理图像分类、纹理图像分割和基于纹理的图像检索提供了坚实的基础,它们是图像处理和计算机视觉中非常重要的研究内容,已被广泛应用于缺陷检测、医学图像和遥感图像分析、文档图像分割、基于生物特征的身份识别和基于内容的图像检索等场合。 |
