基于三通道融合的结构光中心条纹提取算法

实现坝体连接处永久缝的非接触式三维形变测量方法，对保障大坝安全运行具有重要的意义。结构光用来快速获取待测坝体拼接缝部位的表面形貌数据，并利用所获得数据对待测物体表面相貌的三维重构获得缝隙部位形变状态。由于结构光的光条中心提取精度易受噪声干扰，提出了一种三通道特征融合算法来提取条纹中心点。首先，利用方向梯度直方图、局部二值模式和Gabor函数得到三幅光条特征图像。然后，利用图像融合算法确定最终的特征图像。最后，用细化骨架的方法得到中心线。实验结果证明，相较于Steger算法，该方法的最大和平均列坐标差下降至2像素和0.069像素，且测量误差减小至0.114 mm。

Center Fringe Extraction Algorithm of Structured Light Based on Three-Channel Fusion

Realizing the non-contact three-dimensional deformation measurement method of the permanent joints of the dam body connection is of great significance for ensuring the safe operation of the dam.The structured light is commonly used to quickly obtain the surface topography data of the joint part of the dam under test through structured light,of which the obtained data to reconstruct the three-dimensional surface appearance of the object to be tested to obtain the deformation state of the joint part.However,the extraction accuracy of the stripe center of structured light is susceptible to noise interference.A three-channel feature fusion algorithm is proposed to extract the stripe center point.Firstly,three light stripe feature images are obtained by using directional gradient histogram,the local binary pattern and the Gabor function.Then,the image fusion algorithm is used to determine the final feature image.Finally,the centerline is obtained by refining the skeleton.The experimental results show that the maximum and average column coordinate difference of the proposed method can drop to 2 pixels and 0.069 pixels compared with that of the Steger method,in addition,the measurement error can be also reduced to 0.114 mm.