FRIP: a region-based image retrieval tool using automatic image segmentation and stepwise Boolean AND matching

We present our region-based image retrieval tool, finding region in the picture (FRIP), that is able to accommodate, to the extent possible, region scaling, rotation, and translation. Our goal is to develop an effective retrieval system to overcome a few limitations associated with existing systems....

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Bibliographic Details
Published in:IEEE transactions on multimedia 2005-02, Vol.7 (1), p.105-113
Main Authors: Ko, B., Byun, H.
Format: Article
Language:English
Subjects:
Adaptive filters
Applied sciences
Artificial intelligence
Bayes' theorem
Boolean algebra
Boolean AND matching
Color
Computational complexity
Computer science
Computer science
control theory
systems
Content based retrieval
content-based image retrieval (CBIR)
Exact sciences and technology
finding region in the pictures (FRIP)
Image databases
Image retrieval
Image segmentation
Information retrieval
Matching
Pattern recognition. Digital image processing. Computational geometry
Retrieval
Shape
Surface layer
Texture
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Summary:We present our region-based image retrieval tool, finding region in the picture (FRIP), that is able to accommodate, to the extent possible, region scaling, rotation, and translation. Our goal is to develop an effective retrieval system to overcome a few limitations associated with existing systems. To do this, we propose adaptive circular filters used for semantic image segmentation, which are based on both Bayes' theorem and texture distribution of image. In addition, to decrease the computational complexity without losing the accuracy of the search results, we extract optimal feature vectors from segmented regions and apply them to our stepwise Boolean AND matching scheme. The experimental results using real world images show that our system can indeed improve retrieval performance compared to other global property-based or region-of-interest-based image retrieval methods.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2004.840603