A region based image matching method with regularized SAR model

    Authors

    Y. W. Wang; W. Q. Wang;Y. F. Wang

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Keywords

    Computer Science, Information Systems; Computer Science, Theory &; Methods

    Abstract

    In this paper, we propose a new region-based image matching method to find the user defined regions in other images. We use color histogram and SAR (simultaneous autoregressive) model parameters as matching features. We characterize the spatial structure of image region with its block features, and we match the image region in target images with spatial constraints. SAR model was usually used to characterize the spatial interactions among neighboring pixels. But the spectrum of the transition matrix G in the SAR model is not well distributed. Therefore in this paper, we use a regularized SAR model to characterize the spatial interactions among neighboring image blocks, which is based on the solution of a penalized LSE (Least Squares Estimation) for computing SAR model parameters. The experimental results show that our method is effective.

    Journal Title

    Advances in Multimedia Information Processing - Pcm 2004, Pt 1, Proceedings

    Volume

    3331

    Publication Date

    1-1-2004

    Document Type

    Article

    Language

    English

    First Page

    263

    Last Page

    270

    WOS Identifier

    WOS:000226023600033

    ISSN

    0302-9743; 3-540-23974-X

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