Instituto Politécnico Nacional-CITEDI, Instituto Politécnico Nacional 1310, Tijuana 22310, BC, Mexico.
Department of Computer Science, CICESE, Ensenada 22860, BC, Mexico.
Sensors (Basel). 2022 Nov 22;22(23):9050. doi: 10.3390/s22239050.
A stereo matching method based on adaptive morphological correlation is presented. The point correspondences of an input pair of stereo images are determined by matching locally adaptive image windows using the suggested morphological correlation that is optimal with respect to an introduced binary dissimilarity-to-matching ratio criterion. The proposed method is capable of determining the point correspondences in homogeneous image regions and at the edges of scene objects of input stereo images with high accuracy. Furthermore, unknown correspondences of occluded and not matched points in the scene can be successfully recovered using a simple proposed post-processing. The performance of the proposed method is exhaustively tested for stereo matching in terms of objective measures using known database images. In addition, the obtained results are discussed and compared with those of two similar state-of-the-art methods.
提出了一种基于自适应形态相关的立体匹配方法。通过使用建议的形态相关，根据引入的二进制相似度匹配比准则进行最佳匹配，确定输入立体图像对中局部自适应图像窗口的点对应关系。该方法能够以高精度确定输入立体图像的同质图像区域和场景对象边缘处的点对应关系。此外，通过简单的后处理，可以成功恢复场景中遮挡和未匹配点的未知对应关系。使用已知数据库图像，根据客观指标对提出的方法进行了立体匹配的全面测试。此外，还讨论并比较了该方法与两种类似的最新方法的结果。
