文章基本信息

标题：Adaptive Multiscale Stereo Images Matching Based on Wavelet Transform Modulus Maxima
本地全文：下载
作者：Dr. Abdelhak EZZINE ; Dr. Youssef Yazidi Alaoui ; Dr. Achraf Cohen 等
期刊名称：International Journal of Image Processing (IJIP)
电子版ISSN：1985-2304
出版年度：2012
卷号：6
期号：5
页码：373-379
出版社：Computer Science Journals
摘要：In this paper we propose a multiscale stereo correspondence matching method based on wavelets transform modulus maxima. Exploitation of maxima modulus chains has given us the opportunity to refine the search for corresponding. Based on the wavelet transform we construct maps of modules and phases for different scales, then extracted the maxima and then we build chains of maxima. Points constituents maxima modulus chains will be considered as points of interest in matching processes. The availability of all its multiscale information, allows searching under geometric constraints, for each point of interest in the left image corresponding one of the best points of constituent chains of the right image. The experiment results demonstrate that the number of corresponding has a very clear decrease when the scale increases. In several tests we obtained the uniqueness of the corresponding by browsing through the fine to coarse scales and calculations remain very reasonable. Abdelhak EZZINE [email protected] 39 imm serghiniya Rue liban ENSAT/ SIC/LABTIC Abdelmalek ESSAADI University Tangier, 99000, Morocco
关键词：Maxima modulus; Stereo matching; Wavelet transform; Maxima modulus chains.