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@@ -99,7 +99,7 @@ In summary, given the difficulty in the project that the surface of the wheel an
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<p>There are 64 stripes in the coding pattern, and the stripe width is 14 𝑝𝑖𝑥𝑒𝑙, with the center point of the stripe as the feature point of the projection pattern</p>
♣ The 𝐷𝑒 𝐵𝑟𝑢𝑖𝑗𝑛 sequence is composed of 𝑛 different elements, and any consecutive subsequence whose length is 𝑚 only appears once
</td><td><div align="center"><img src="./img/cn/07.png" alt="21" width="100%" height="100%"/></div></td></tr><tr><td> DeBruijn Analysis</td><td>在对灰度图像进行预处理后，为获得条纹中心点的位置，采用局部最大值算法从类似“高斯”形状的条纹灰度图像中提取图像每一行的局部最大值（以亚像素精度检测），局部最大值点即为条纹的中心点。在 𝐿𝑎𝑏 颜色空间下，对条纹中心点的颜色进行分类，在 4×1 的窗口中，即可获得条纹中心点在投影图案的对应位置。After preprocessing the gray image, in order to extract the center point of the stripes, a local maximum algorithm is applied to searching local maxima (detected with sub-pixel precision) of each row of the image from the strips which is present a gaussian-like shape, The local maximum point is the center point of the fringe. In the 𝐿𝑎𝑏 color space, classify the colors of the center point of the stripe. In a 4×1 window, you can get the corresponding position of the center point of the stripe in the projection pattern.</td><td><div align="center"><img src="./img/cn/08.png" alt="22" width="100%" height="100%"/></div></td></tr><tr><td>Wavelet Transform Analysis</td><td>The change of the V channel satisfies the given cosine function and contains the phase information of the non-center point of the fringe. But after the pattern is modulated by the object, the originally stable signal changes. As a non-stationary signal processing method, the wavelet transform method has been introduced into many signal processing fields, including phase extraction from fringe patterns. Comprehensive comparison of one-dimensional and two-dimensional window Fourier transform, wavelet transform and other methods, for the consideration of reconstruction accuracy and speed, the one-dimensional wavelet transform method is selected. The generalized Morse wavelet has flexible time-frequency local characteristics and strict analysis, and the effect of measuring the 3D contour of the object is better than the popular complex Morlet wavelet as the mother wavelet.</td><td><div align="center"><img src="./img/cn/09.png" alt="23" width="100%" height="100%"/></div></td></tr></table>
</td><td><div align="center"><img src="./img/cn/07.png" alt="21" width="100%" height="100%"/></div></td></tr><tr><td> DeBruijn Analysis</td><td>After preprocessing the gray image, in order to extract the center point of the stripes, a local maximum algorithm is applied to searching local maxima (detected with sub-pixel precision) of each row of the image from the strips which is present a gaussian-like shape, The local maximum point is the center point of the fringe. In the 𝐿𝑎𝑏 color space, classify the colors of the center point of the stripe. In a 4×1 window, you can get the corresponding position of the center point of the stripe in the projection pattern.</td><td><div align="center"><img src="./img/cn/08.png" alt="22" width="100%" height="100%"/></div></td></tr><tr><td>Wavelet Transform Analysis</td><td>The change of the V channel satisfies the given cosine function and contains the phase information of the non-center point of the fringe. But after the pattern is modulated by the object, the originally stable signal changes. As a non-stationary signal processing method, the wavelet transform method has been introduced into many signal processing fields, including phase extraction from fringe patterns. Comprehensive comparison of one-dimensional and two-dimensional window Fourier transform, wavelet transform and other methods, for the consideration of reconstruction accuracy and speed, the one-dimensional wavelet transform method is selected. The generalized Morse wavelet has flexible time-frequency local characteristics and strict analysis, and the effect of measuring the 3D contour of the object is better than the popular complex Morlet wavelet as the mother wavelet.</td><td><div align="center"><img src="./img/cn/09.png" alt="23" width="100%" height="100%"/></div></td></tr></table>