Irregularity in multi-dimensional space-filling curves with applications in multimedia databases
Proceedings of the tenth international conference on Information and knowledge management
Analysis of the Clustering Properties of the Hilbert Space-Filling Curve
IEEE Transactions on Knowledge and Data Engineering
Neighbor-finding based on space-filling curves
Information Systems
Manipulation and Presentation of Multidimensional Image Data Using the Peano Scan
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new algorithm for N-dimensional Hilbert scanning
IEEE Transactions on Image Processing
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The Hilbert curve is a way of mapping the multidimensional space into the one-dimensional space. Such mappings are of interest in a number of application domains including image processing and, more recently, in the indexing of multidimensional data. However, little has been discussed on its high dimensional algorithms due to the complexity. In this paper, a novel algorithm is presented for analyzing an N-dimensional Hilbert curve, which discusses how to obtain the constructing information of an N-dimensional Hilbert curve.