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图像拼接在制作全景图的过程中具有重要作用。对多幅图像进行特定模式投影后,用约束的相位相关度法求取水平垂直偏移量,然后寻找最佳缝合线,实现图像拼接,最后采用多分辨率算法对全图进行拼接处理去除曝光差异和鬼影。-Image matching plays an important role in the process of producing panorama. After specific pattern of multiple image projection, with the constrai
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介绍了水平垂直投影虽然有一些缺陷但还是有参考价值的-Describes the horizontal and vertical projection, although there are some flaws but still have reference value
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The basic steps of the connected-component text extraction algorithm are given below,
and diagrammed in Figure 10. The details are discussed in the following sections.
1. Convert the input image to YUV color space. The luminance(Y) value is used
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对输入图像进行判断是否为三维，若是则转化为二维，然后在用灰度图像进行水平和垂直投影-The input image is to determine whether the 3D into 2D, if it is, then the horizontal and vertical projection in gray image
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在圖片上做水平和垂直投影還統計像素數量-In the pictures do the horizontal and vertical pixel count statistical projection also !!!!
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本程序介绍一个数字图像的二维投影，水平方向和垂直方向，经过多次测试，可以运行-This procedure describes a two-dimensional digital image projection, the horizontal and vertical directions, after several tests, it can run
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调用OPENCV库，使用水平法、垂直投影法进行图片分割，调试通过。使用class封装方法(Call OPENCV library, use the horizontal method, vertical projection method for image segmentation, debug and pass. Using class encapsulation method)
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