Abstract
The need for efficient content-based image retrieval has increased tremendously in many application areas such as biomedicine, military, commerce, education, and Web image classification and searching. We present a method where local and global features are extracted. As a global feature, we extract the colour histogram. As local features, we extract prominent regions from the image using a k-means variant and a labeling algorithm. For each region, colour and spatial locations are extracted. Because these algorithms are computationally intensive, a hardware implementation is presented that accelerates the processing of the images. The proposed design is well suited for implementation on an FPGA. The device can be used as an add-on to a Personal Computer (PC).
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© 2004 Springer-Verlag Berlin Heidelberg
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Skarpathiotis, C., Dimond, K.R. (2004). A Hardware Implementation of a Content Based Image Retrieval Algorithm. In: Becker, J., Platzner, M., Vernalde, S. (eds) Field Programmable Logic and Application. FPL 2004. Lecture Notes in Computer Science, vol 3203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30117-2_157
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DOI: https://doi.org/10.1007/978-3-540-30117-2_157
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22989-6
Online ISBN: 978-3-540-30117-2
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