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Color and Shape Index for Region-Based Image Retrieval
[chapter]
2001
Lecture Notes in Computer Science
Most CBIR systems use low-level visual features for representation and retrieval of images. Generally such methods suffer from the problems of high-dimensionality leading to more computational time and inefficient indexing and retrieval performance. This paper focuses on a low-dimensional color and shape based indexing technique for achieving efficient and effective retrieval performance. We propose a combined index using color and shape features. A new shape similarity measure is proposed
doi:10.1007/3-540-45129-3_66
fatcat:gjnkh5houvfvjeoe6gerxx6e2m