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5 August 2009 A kind of phase-based image matching technique
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Image matching is one of the most important techniques in intelligent systems and is widely applied in many fields. Firstly, based on integrated feature congruency, interesting target detection algorithm in complex natural backgrounds images is studied in this paper. By detecting the abrupt changes, we can detect interesting target areas. In this paper, the local image information is obtained by logGabor filter banks, and is represented by a collection of separate features. The integrated features consist of some separable significant features. The integrated feature congruency model is presented based on the integrated feature. We gain improved integrated feature congruency model by compensating noise. Then, we get a new kind of phase-based image matching method (PIM) by combining this model and Rotation Invariant Phase Only Correlation (RIPOC) algorithm. Experimental results show that the PIM algorithm is effective in detecting interesting targets and locating the matching targets exactly. This algorithm is invariant to image illumination, contrast, rotation and scaling. And this model is robust, general and accords with the human vision system (HVS) characteristics.
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Zhitao Xiao, Jun Wu, and Lei Geng "A kind of phase-based image matching technique", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73833X (5 August 2009);

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