Title :
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
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;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1529807
