Scan patterns for association rule mining of image data

Zequn Guan

doi:10.1117/12.467820

11 June 2003 Scan patterns for association rule mining of image data

Zequn Guan

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.467820
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

The central idea of this paper is that image data mining could be performed directly on the 2D image representation, by applying some scan techniques on the 2D image, which are different than the raster scan. In this paper, we present the comparison of spatial data sets using bit sequential format on a unique vector form which converts between one quadrant tree and some sub-quadrant trees. Then, we describe how the bit-vector might be used to generate the associations among scan patterns in which when some object attributes are extracted in a data process, the others are extracted too.

Citation Download Citation

Zequn Guan "Scan patterns for association rule mining of image data", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.467820

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