Journal Articles

Retrieval of images by spatial and object similarities

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In the last several decades it has become an important basis to retrieve images from image databases (IDBs)
by the semantic information held in the image objects and the spatial patterns formed by these objects. In this paper,
we propose a new method for similarity retrieval of symbolic images by both the attributes and the spatial relationships
of the contained objects. The proposed method CPM (common pattern method) retains the common spatial patterns of two images in new data structures CP_DAG (common pattern directed acyclic graph) and performs the similarity calculation efficiently in practice. The conducted experiments use both a synthetic dataset and an existing image database. The experimental results show that CPM outperforms LCS_Clique, SIMR, SIMDTC, and 2D Be-string for average efficiency and effectiveness. CPM also has steady efficiency while the number of image objects and the object symbol duplication rates increase.

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Detail Information

Series Title

Information Processing & Management

Call Number

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Publisher

s.l. : Elsevier., 2008

Collation

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Language

English

ISBN/ISSN

0306-4573

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

Vol. 44, No. 3, Page 1214-1233

Subject(s)

Image retrieval
Similarity function
Spatial relationship
Common spatial pattern
Directed acyclic graph

Specific Detail Info

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Statement of Responsibility

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