Abstract
In this paper, we address the problem of image retrieval when the query is in the form of scaled and rotated regions of images in the database. The solution lies in identifying points that are invariant to scaling and rotation and determining a robust distance measure that returns images that contain the query regions. We use the Harris-Laplacian detector to detect the interest points which are then matched with similar points in the image database using a novel fuzzy distance measure. Images with closely matching interest points are further refined using a cross-correlation measure that results in the final set of retrieval images. Experimental results show the effectiveness of the proposal image retrieval strategy.
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© 2004 Springer-Verlag Berlin Heidelberg
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Wang, S., Chia, LT., Rajan, D. (2004). Region-Based Image Retrieval with Scale and Orientation Invariant Features. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_23
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DOI: https://doi.org/10.1007/978-3-540-30541-5_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23974-1
Online ISBN: 978-3-540-30541-5
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