ArticleSensors (Basel, Switzerland)2022
Stereo Image Matching Using Adaptive Morphological Correlation.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Reliable Disparity Estimation Using Multiocular Vision with Adjustable Baseline.Sensors (Basel, Switzerland) · 2024Article
- Restoration of Binocular Images Degraded by Optical Scattering through Estimation of Atmospheric Coefficients.Sensors (Basel, Switzerland) · 2023Article
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4 authors.
Funding
Abstract
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.
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Registered trials
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