Academic Journal

Stereo Image Matching Using Adaptive Morphological Correlation

التفاصيل البيبلوغرافية
العنوان: Stereo Image Matching Using Adaptive Morphological Correlation
المؤلفون: Victor H. Diaz-Ramirez, Martin Gonzalez-Ruiz, Vitaly Kober, Rigoberto Juarez-Salazar
المصدر: Sensors, Vol 22, Iss 9050, p 9050 (2022)
بيانات النشر: MDPI AG
سنة النشر: 2022
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: stereo vision, disparity estimation, morphological correlation, locally adaptive image processing, Chemical technology, TP1-1185
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 1424-8220
Relation: https://www.mdpi.com/1424-8220/22/23/9050; https://doaj.org/toc/1424-8220; https://doaj.org/article/82001bdddc0a4c3492fd434983f36f1a
DOI: 10.3390/s22239050
الاتاحة: https://doi.org/10.3390/s22239050
https://doaj.org/article/82001bdddc0a4c3492fd434983f36f1a
رقم الانضمام: edsbas.87BB05E7
قاعدة البيانات: BASE
الوصف
تدمد:14248220
DOI:10.3390/s22239050