彩色伪随机编码结构光解码方法研究

在采用伪随机序列生成彩色条纹作为投影图像的基 础上提出了一种对彩色伪随化编码结构光三步 解码新方法。首先,建立向量梯度算子将Canny算子推广到彩色多通道图像,对彩色带状图 像进行彩色边缘检测,确 定边缘特征的位置信息；其次,采用引导式K-means聚类算法和 颜色分辨能力较强的颜色不变量对图像进行颜色识 别和分类,继而获得边缘特征的颜色信息；最后,提出分步窗口匹配算法对边缘特征序列进 行匹配,从而确立拍摄 图像和投射图像上的边缘特征的对应性。实验结果表明,提出的解码方法在不需要假定被测 物体表面颜色和纹理结 构的条件下,依然能够有效地提高解码的精度,具有较强的鲁棒性。

Research on the decoding method for color pseudo-random coding structured light

In coded structured light measurement,color coded structured light possesses a d istinct advantage that it has high speed of shape measurement,because it only needs to project on e pattern.Encoding and decoding are its two key problems.The captured color stripe is easily affected by many factors,such as the ambient light,the texture,color,discontinuity and steep slope of the o bject,so the color is often identified incorrectly,thereby the low decoding accuracy is emerged.To improve the decoding accuracy of color stripe structured light wh ich is generated from pseudo-random sequence,this paper proposes a new decoding method.It includes three steps.First,Canny algorithm based on color image is adopted to obtain the location information of the edge feature on the camera image.Second,the color classification of the camera image is conducted through the use of the guiding K-means clustering algorithm on a color invariant that has high discrim inating power.Finally,the relations of edge features between the projecto r image and camera image are directly determined with a multi-step matching method based on the window prope rty.The experimental results show that the proposed decoding method can effectively improve the accur acy of decoding without setting the surface color and texture structur e of the measured object.Besides that,the method exhibits strong robustness.