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PCM
2004
Springer

A Region Based Image Matching Method with Regularized SAR Model

9 years 9 months ago
A Region Based Image Matching Method with Regularized SAR Model
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.
Yaowei Wang, Weiqiang Wang, Yanfei Wang
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where PCM
Authors Yaowei Wang, Weiqiang Wang, Yanfei Wang
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