DocumentCode
2243437
Title
Fast fractal image retrieval algorithm based on contiguous-matches
Author
Liu, Yu ; Zhang, Ming ; Yuan, Fang
Author_Institution
Coll. of Math. & Comput. Sci., Hebei Univ., Baoding, China
Volume
4
fYear
2010
fDate
11-14 July 2010
Firstpage
2047
Lastpage
2052
Abstract
The compression transform parameters that keep the image approximate constant are recorded in fractal code, which reflect the cross-scale redundancy features between different regions of a natural image. Therefore the application of the parameters to content based image retrieval will achieve effects. In this paper, a new image fast fractal encoding method based on adaptive quadtree is put forward. In addition, an image retrieval algorithm and the distance formula are also given. Along with the substantial increase in retrieval effect, the image decoding quality is also guaranteed. Results show that this algorithm significantly reduces the encoding time of image retrieval, and the accurate-complete rating of which is obviously superior to that of the color histogram method.
Keywords
content-based retrieval; image coding; image colour analysis; image retrieval; accurate-complete rating; color histogram method; compression transform parameters; content based image retrieval; contiguous-matches; cross-scale redundancy features; distance formula; fractal image retrieval algorithm; image decoding quality; image fast fractal encoding method; Feature extraction; Fractals; Histograms; Image coding; Image color analysis; Image retrieval; Machine learning; CBIR; Contiguous-match; Fractal code; Quadtree;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580504
Filename
5580504
Link To Document