DocumentCode
2729883
Title
Rotation invariant texture spectrum-based image retrieval algorithm
Author
Cheng, Xiaohui ; Zhang, Cuina ; Zhou, Maojie
Author_Institution
Coll. of Inf. Sci. & Eng., Guilin Univ. of Technol., Guilin, China
fYear
2011
fDate
15-17 July 2011
Firstpage
602
Lastpage
605
Abstract
Image retrieval is to find similar images in image library, LBP texture spectrum is sensitive to the rotation for this problem, a primitive rotating LBP texture spectrum obtained after a certain point of view as a new texture spectrum consistent with the visual texture primitive spectrum, will have all the texture spectrum of visual consistency primitives into one, this can reduce the dimension of feature values, and image rotation can solve the problem of similarity calculation, using the texture spectrum for texture image description, and finally histogram with the texture primitive search, the results show that the precision than the traditional LBP has significantly improved, better search results.
Keywords
image retrieval; image texture; LBP texture spectrum; image library; image retrieval algorithm; rotation invariant texture spectrum; similarity calculation problem; texture image description; visual texture primitive spectrum; Algorithm design and analysis; Equations; Histograms; Image color analysis; Image retrieval; Mathematical model; Visualization; LBP texture spectrum; Rotation invariant; Visual consistent; retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-9699-0
Type
conf
DOI
10.1109/ICSESS.2011.5982392
Filename
5982392
Link To Document