Enhanced wavelet correlogram methods for image indexing and retrieval

Author

Saadatmand, M.T. ; Moghaddam, H. Abrishami

Author_Institution

K. N. Toosi Univ. of Technol., Tehran, Iran

Volume

1

fYear

2005

fDate

11-14 Sept. 2005

Abstract

In this paper, three new algorithms including optimal quantized wavelet correlogram (OQWC), wavelet CCV-correlogram (W3C), and color-W3C (CW3C) for content-based image indexing and retrieval are presented. In OQWC the threshold levels for wavelet coefficient quantization are optimized using an evolutionary process. W3C is an extension of OQWC that utilizes color coherence vectors (CCV) to include gray level and texture information in image index. Finally, CW3C is an extended version of W3C for effective color image indexing. The retrieval results obtained by the new methods on a 1000 image database demonstrate significant improvements in recall and rank compared to wavelet correlogram and SIMPLIcity methods.

Keywords

content-based retrieval; evolutionary computation; image colour analysis; image retrieval; image texture; indexing; wavelet transforms; color coherence vectors; content-based image indexing; content-based image retrieval; evolutionary process; gray level; quantized wavelet correlogram; texture information; wavelet correlogram methods; Color; Content based retrieval; Histograms; Image databases; Image retrieval; Indexing; Information retrieval; Optical wavelength conversion; Quantization; Wavelet coefficients;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2005. ICIP 2005. IEEE International Conference on

Print_ISBN

0-7803-9134-9

Type

conf

DOI

10.1109/ICIP.2005.1529807

Filename

1529807