Mining Spatial Association Rules in Image
Date Issued
2005
Date
2005
Author(s)
Chen, Yi-Ling
DOI
en-US
Abstract
In this paper, we integrate data mining with image processing for discovering spatial relationships in images. We present an image mining framework, Spatial Association Rulemining (SAR), to mine spatial associations located in specific locations of images. A rule in the SAR refers to the occurrences of image content in a pair of spatial locations. The proposed approach is applied to mine color spatial association rules (color-SAR) in landscape scene images so as to demonstrate that the spatial association rules is able to the application of image classification. Our experimental results show that the classification accuracy of 86% can be achieved by the rule-based classifier.
Subjects
關連法則
影像
association rule
image
Type
thesis
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