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Proceedings Paper

Image indexing based on the genealogical relation of TSVQ indices
Author(s): Jamshid Shanbehzadeh; Amir Masoud Eftekhary Moghadam; Abdolhosain Sarafzadeh; Fariborz Mahmoudi; Neda Mashatan
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Paper Abstract

The indices obtained from tree-structured vector quantization have two capabilities. First, they can provide image with different resolutions which gives an hierarchical order image based on the closeness of image blocks. Second, image blocks indices, depending on the tree depth, give the characteristics of neighboring pixels of an image. These indices characteristics have ben used in generating a feature vector which shows the image clusters in different resolutions with the capability of giving information about the neighboring pixels characteristics including edges or smooth image areas. This method has been compared with other previous image retrieval scheme based on vector quantization.

Paper Details

Date Published: 20 December 1999
PDF: 5 pages
Proc. SPIE 3964, Internet Imaging, (20 December 1999); doi: 10.1117/12.373451
Show Author Affiliations
Jamshid Shanbehzadeh, Islamic Azad Univ. Dezful (Iran)
Amir Masoud Eftekhary Moghadam, Islamic Azad Univ. Qazvin (Iran)
Abdolhosain Sarafzadeh, Teacher Training Univ. (Iran)
Fariborz Mahmoudi, Islamic Azad Univ. Qazvin (Iran)
Neda Mashatan, Islamic Azad Univ. Qazvin (Iran)


Published in SPIE Proceedings Vol. 3964:
Internet Imaging
Giordano B. Beretta; Raimondo Schettini, Editor(s)

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