International Journal of Computer Vision
Color matching for image retrieval
Pattern Recognition Letters
Line Pattern Retrieval Using Relational Histograms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Arrangement: A Spatial Relation Between Parts for Evaluating Similarity of Tomographic Section
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Indexing Using Weighted Color Histogram
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
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In this paper, we shall propose a color image retrieval method. Among the methods of color image retrieval, the histogram technique only captures the global properties so that it cannot effectively characterize an image. To overcome this drawback, we propose a scheme to capture local properties so that it can do retrieval more accurately. In our method, we segment the original image into several subimage blocks, and we do color histogram with every subimage block. After combining color histogram vectors into a multi-dimensional vector, we use this multi-dimensional vector to search the database for similar images. The experimental results show that our method gives better performance than the original color histogram technique.