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1-D DCT shape feature for Image Retrieval
2009
2009 IEEE International Conference on Signal and Image Processing Applications
Content Based Image Retrieval (CBIR) is a difficult task. It needs different approaches and tools to get a set of images similar to a complex query image. Finding appropriate features is one of the important issues in this process. There are several tools to extract the appropriate features from the images. In this paper we explore the usage of 1-D Discrete Cosine Transform (DCT) as a tool for finding features of the boundary of objects in the query and database images. It is shown that the
doi:10.1109/icsipa.2009.5478692
fatcat:axfpfx3qr5e6ndx6c5wz2wq6q4