%0 Journal Article %A PAN Weihua %A DU Xu %T Three-Edge Filtering Stereo Matching Algorithm Based on Improved Adaptive Support Weight %D 2020 %R 10.3778/j.issn.1002-8331.1908-0220 %J Computer Engineering and Applications %P 186-192 %V 56 %N 18 %X

The Adaptive Support Weighting(ASW) method based on Bilateral Filter(BF) can not effectively solve the fuzzy matching problem caused by pixels with different parallax but similar colors, a new Trilateral Filter(TF) based ASW method is proposed. The local energy model is used to calculate the boundary strength between adjacent pixels to improve the matching precision. In order to improve the matching speed, the TF algorithm is recursively implemented, and the complexity of the ordinary local stereo matching algorithm is reduced from [O(NWD)] to [O(N)]. Experiments are carried out on the Middlebury benchmark test set. Compared with other local stereo matching algorithms, the average mismatch rate of the RTF algorithm is 4.91%, higher than the other binocular stereo matching algorithm. The average matching speed reaches 258 ms, which satisfies stereo matching needs for real-time.

%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1908-0220