Automatic Shape Annotation Using Rough Sets and Decision Trees
Research Area: | Volume 1 Issue 2, March 2012 | Year: | 2012 |
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Type of Publication: | Article | Keywords: | Automatic image annotation, shape features, decision tree, rough sets |
Authors: |
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Journal: | IJEIR | Volume: | 1 |
Number: | 2 | Pages: | 70-75 |
Month: | March | ||
ISSN: | 2277-5668 | ||
Abstract: | Annotation of images automatically assigns
tags to images by analyzing contents of images. Shape is the
most important feature of images, by using this features
tagging of images is possible, can be termed as automatic
shape annotation. In this paper, a novel classifiers using
machine learning techniques viz. Rough Set (RS) and
Decision Tree (DT) are presented to classify shape images of
a standard dataset for annotation purpose. Shape based
features are extracted and organized to form a shape feature.
Rough Set Exploration System (RSES) is used to develop
decision tree based, rough set based classifiers for the tagging
of shapes. The results obtained using these classifiers are
presented and discussed. The RS classifier significantly
improves the annotation performance |
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