Digital image processing
Editorial introduction: color for image indexing and retrieval
Computer Vision and Image Understanding - Special issue on color for image indexing and retrieval
Spatial color descriptor for image retrieval and video segmentation
IEEE Transactions on Multimedia
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High-dimensional image feature data is an obstacle for image mining. In order to reduce the image feature data dimension, this paper introduces a method based on concept lattices. After introducing the basic concepts of formal context theory and the attribute reduction of concept lattices, the feature attribute set produce algorithm and the dimension reduction algorithm are put forward. In the algorithm, the image formal context, which is transformed from the HSV color feature, and then the attributes of the concept lattices are reduced. The experiment results prove that this method is efficient, and it outperforms the principal component analysis (PCA).