TY - JOUR
T1 - Stereo Image Matching Using Adaptive Morphological Correlation
AU - Diaz-Ramirez, Victor H.
AU - Gonzalez-Ruiz, Martin
AU - Kober, Vitaly
AU - Juarez-Salazar, Rigoberto
N1 - Publisher Copyright:
© 2022 by the authors.
PY - 2022/12
Y1 - 2022/12
N2 - 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.
AB - 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.
KW - disparity estimation
KW - locally adaptive image processing
KW - morphological correlation
KW - stereo vision
UR - http://www.scopus.com/inward/record.url?scp=85143685591&partnerID=8YFLogxK
U2 - 10.3390/s22239050
DO - 10.3390/s22239050
M3 - Artículo
C2 - 36501752
AN - SCOPUS:85143685591
SN - 1424-8220
VL - 22
JO - Sensors
JF - Sensors
IS - 23
M1 - 9050
ER -