Interesting Target Detection and Matching Algorithm Based on Phase Information

Interesting target detection and matching algorithm in complex natural backgrounds images is studied in this paper. Firstly, logGabor filter bank is analyzed, which is consistent with human visual system characteristics. Several kinds of local features from the filter bank can form the integrated feature. Integrated Feature Congruency (IFC) model is established. And upon compensating noise for IFC, an Improved Integrated Feature Congruency (IIFC) model is obtained, in which, target detecting is translated to find the interest points that are significant across scales and orientations.

Provided by: International Association of Computer Science & Information Technology (IACSIT) Topic: Software Date Added: May 2011 Format: PDF

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