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大量的图像的英文

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"大量的图像"怎么读用"大量的图像"造句

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  • a mass of imagesfactsfiguresdataata

例句与用法

  • Along with the arrival of multimedia time , people can get more and more image information
    随着多媒体时代的到来,使得人们越来越多的接触到大量的图像信息。
  • Therefore , the need to handle queries and browse in large image databases has become a hotspot
    如何对大量的图像信息进行有效的管理和检索成为研究者们关注的问题。
  • A lot of experiments have been done to test our fingerprint identification and classification algorithms
    针对指纹图像识别算法,我们进行了大量的图像识别和图像分类的测试工作。
  • So , how to manage efficiently and retrieve the need of image is the problem crying for settling for people in information age
    因此,如何对大量的图像进行有效管理和检索,已成为信息时代人们迫切需要解决的问题。
  • Lots of image dealing in the software is based on the bmp bitmap operation theory which has been discussed in detail in this thesis
    红外无损评估系统软件中大量的图像处理工作是基于bmp位图操作理论的,本文对此进行了详尽的探讨。
  • These methods are not very effective to the image edges extraction with noise . in this paper , an edge detection method based on self - learning and statistics is improved
    此外,通过统计参数自学习的方法,针对大量的图像,自适应构造边缘检测的阀值,能尽可能检测出图像的真实边缘,减少或避免伪边缘。
  • In this way , one side , the image information are increasing at exponent level , one other side , people have difficult to find what they need from vast images information , accordingly , it forms the phase that looks for a needle in a bottle of hay
    这样,一方面图像信息以指数级增长,而另一方面人们却很难从大量的图像信息中找到自己所需的,从而形成了大海捞针的局面。
  • To meet such need of analyzing images , we have to target at those valuable and worthy ones , and then recognize specific objects described by related graphs we get . the process itself invites techniques of both image segmentation and feature matching
    要从图像中获得所需要的信息,必须从大量的图像中找到我们感兴趣的图像,并从中识别出目标,这需要运用到图像分割技术和特征匹配技术。
  • The rapid development of computer , multimedia and internet techniques has produced too large amount of images . therefore , it becomes an urgent problem that how to find needed image efficiently in large - scale image database
    计算机技术、多媒体技术以及internet技术的飞速发展产生大量的图像信息,因此如何有效地、快速地从大规模的图像数据库中检索出需要的图像是目前一个急需解决的重要问题。
  • Via refer to literature and theory study , three methods , namely ent , otsu , and iteration method are putted forward to calculate void fraction and via lots of experiment , three methods are compared and induced . in the end , otsu is recommend which it has satisfactory precision and speed
    经过大量的图像分割实验,对各种分割方法的分割效果和适用条件进行了比较和归纳,以计算精度和计算速度作为比较标准,作者认为类间方差法是计算阈值的最佳方法。
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