template matching中文,template matching的意思,template matching翻译及用法

2025-11-01 20:49 浏览次数 12

template matching

英[ˈtemplit ˈmætʃɪŋ]美[ˈtɛmplɪt ˈmætʃɪŋ]

模板匹配

template matching 片语

片语

local template-matching局部模板匹配

binary template matching二值模板匹配

template-matching theory模板匹配理论

template correlation matching algorithm模板匹配算法

template matching model模板匹配模型

Template Matching by CrossCorrelation模板图象匹配的互相关

template function matching模板函数匹配

template matching 例句

英汉例句

  • secondly, several template matching algorithms are discussed from the aspect of character space and similarity measure and some improvement is presented respectively.

    接着,从特征空间和相似性测度的角度出发,探讨了几种模板匹配算法,并相应地进行了一些改进。

  • firstly, template matching is performed on the image which is based on pretreatment to consequently locate the target which will be recognized.

    该方法首先在图像预处理的基础上,进行模板匹配,从而定位待识别目标;

  • in order to realize the location of the target, an adaptive template matching method based on data stream modification is introduced in this paper.

    本文提出了一种基于数据流修正的自适应模板匹配定位方法。

  • conventional template matching technique is a successfully used algorithm in chinese consonant recognition, yet its disadvantage limits its recovery of error, improvement of performance.

    模板匹配法技术是汉语声母识别中较为成功的算法,但它的缺陷影响了其恢复错误、改善识别性能。

  • in the template matching external links, the variable 「params」 contains a concatenation of all strings generated from pass-param> elements.

    在与外部链接匹配的模板中,变量 「params」包含从 pass-param>元素生成的所有字符串的并置。

  • in this paper, a novel template matching algorithm based on motion prediction is studied, which could be applied to the combat vehicle fire control system.

    分析研究了一种新的增加运动预测的模板匹配算法,并将其应用到战车火控系统中。

  • the existing face detection methods can be classified into four categories: knowledge-based methods, feature invariant approaches, template matching methods and appearance-based methods.

    现有的静止图像人脸检测算法主要有四类:基于知识的方法、基于特征不变量的方法、基于模板匹配的方法和基于表象的方法。

  • this paper develops a multi template matching based method for single face detection in general background images.

    提出了一种基于多模板匹配的一般环境图象中单人脸的检测方法。

  • the use of template matching method of infrared image of the target for testing.

    运用模板匹配的方法对红外图像中的目标进行检测。

  • the edge extraction method not only extracts the outline of the target, but also keeps the inner details, thus the optimum matching position found by template matching becomes more reliable.

    文中的边界提取方法不仅能提取出目标的轮廓,还能较好地保留其内部细节,这样通过模板匹配得到的最佳匹配位置更加可靠。

  • an extrapolation technique applicable to multi-stage template matching algorithm is presented.

    本文提出一种可应用于多级模板匹配算法的外推技术;

  • the precision is higher than those of the existing template matching algorithms or characteristic extraction algorithms.

    这是以往的模板匹配算法和特征分类算法所不能达到的。

  • the experiments with template matching algorithm were performed, and the results show that the recognition rate is 98.9%.

    结合模板匹配算法的识别实验得到的识别率为98.9%。

  • we tried template matching and rbf ann as classify method.

    分类器分别尝试了模板匹配方法和rbf神经网络的方法。

  • the experimental results show that the new method can locate two eyes simultaneously, get higher precision and faster speed comparing with the traditional template matching algorithm.

    实验结果表明,与传统模板匹配方法相比,该文方法能够同时定位双眼,并显着提高了定位準确率和定位速度。

  • a novel method of content based image segmentation using deformable template matching is proposed.

    本文提出一种采用可变形模板匹配技术进行基于内容的图像分割算法。

  • the method of deformable template matching based on genetic algorithms to auto-gridding is adopted in the paper.

    本文采用遗传算法为基础的变形模板匹配方法来完成基因芯片图像的自动网格定位。

  • the template matching technique is confronted with large computational quantity and memory quantity in image recognition. the method of image recognition based on genetic algorithm was proposed.

    分析了图像识别中模板匹配技术面临的计算量大、存储量大的问题,提出了基于遗传算法的图像识别方法。

  • based on discussing the template matching method of image stitching, an improved algorithm is presented for enhancing the efficiency in light of the heavy computation problem.

    在讨论图像拼接的模板匹配法的基础上,针对计算量太大的问题,提出了一种提高效率的改进算法。

  • finally, a minimum area searching algorithm based on template matching is designed according to the own features of the system.

    结合应用系统本身的特点,设计了基于模板匹配的最小区域搜索算法。

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