• Using an incoherent optical correlator and a shift encoding method, the processing of gray sclae image matching based on similitude measurement was realized.

    利用非相干光相关操作处理和空间移位编码方法,实现了基于相似性度量的灰阶图像匹配处理。

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  • First, we calculate the translation between two images by gray projection algorithm, then we use the block-matching algorithm in the divided blocks.

    首先利用灰度投影法得到相邻两幅图像的平移量,在此基础上再利用块匹配算法进行分块处理。

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  • Then the matching support can be calculated according to length distortion, direction distortion, gray distortion, and double faces constraint.

    然后,根据影像的长度变形、方向变形、灰度变形及双向一致性条件,计算匹配支持度;

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  • An ear recognition method based on gray surface matching has been proposed.

    本文提出了一种基于灰度曲面匹配的人耳识别方法。

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  • In the detection of fabric flaw based on template matching, statistical information of natural and normal texture of the fabric can be extracted via collecting and analyzing the gray image.

    在使用模板匹配方法检测织物瑕疵的过程中,通过实时采集、分析织物的灰度图像,获得织物纹理的统计信息,并从中提取出正常纹理的特征。

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  • By using calibrated image, it can measure plane absolute displacement of worktable automatically via feature point extraction and gray vector matching.

    该方法采用事先通过标定的图像,对自然标志(特征点)的提取和基于灰度向量匹配来完成绝对位移的测量。

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  • A scene matching approach based on increment sign correlation is proposed to solve the problem of gray change or occlusion in image.

    针对图像灰度变化和遮挡问题,提出一种增量符号相关的景象匹配方法。

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  • Once the interest points were detected, the image matching process in an image sequence is performed using local gray-value differential invariants.

    在获得了兴趣点之后,利用兴趣点处的局部灰度差分不变量进行序列图像的点特征匹配。

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  • Then a vertical edge matching based algorithm recognizes license-plate from input gray-scale image.

    然后根据这种算法进行垂直边界匹配来从输入的灰度图像中识别车牌。

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  • The matching result can be used to estimate the maximum and minimum disparity, gray correlation threshold and some other parameters which play important roles in dense matching.

    通过这些稀疏的配准结果,可以估计出立体像对的最大最小视差以及灰度相关阈值等参数,用于稠密配准中。

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  • Under this circumstance, the author puts forward the template-matching algorithm based on one-dimensional gray projection.

    针对此情况提出了采用一维灰度投影的模板匹配方法。

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  • The information available for image matching includes the gray-level of or near interest points and the geometrical relation of interest points.

    利用兴趣点进行序列图像匹配可以利用兴趣点及其邻域的灰度信息和兴趣点集的几何信息。

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  • The other method uses 1-D cyclostyle matching algorithm to obtain horizontal and erect gray scale projection curves of two list images, then compares with them if its not homology.

    另一种方法是分别得到横竖条码在水平和垂直方向的一维灰度投影曲线,根据它们的相关性判断两幅图像是否匹配。

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  • Secondly, in order to improve the correction of image matching, the effect of different gray levels on mutual information is discussed later.

    其次,为了提高互信息匹配的正确率,研究了分灰度阶估算的方法,并探讨这种方法对互信息匹配造成的各种影响。

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  • Secondly, in order to improve the correction of image matching, the effect of different gray levels on mutual information is discussed later.

    其次,为了提高互信息匹配的正确率,研究了分灰度阶估算的方法,并探讨这种方法对互信息匹配造成的各种影响。

    youdao

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