Automatic Image Orientation Detection (AIOD)[IASTED 2006]
We present an AIOD algorithm based on the supervised self-organizing map (SOM). The proposed system achieves decent accuracy with a compact feature vector, minimal training time, and also a small training set.
Natural Scene Segmentation[MS Thesis] [CVPRIP 2006]
Natural scene segmentation is carried out using a two-stage hierarchical self-organizing map (HSOM). The proposed method confirms that the sample selection based on homogeneity and the selflearning ability and adaptability of the HSOM, coupled with the information fusion mechanism (color and texture information), can lead to good segmentation results, which is validated by experiments on a variety of natural scene images.