Title :
Discriminating Structure and Random Texture Images with Binary Fourier Spectrum for Invariant Texture Retrieval
Author :
Zhang, Jiuwen ; Li, Xiaojun ; Ma, Yide
Author_Institution :
Sch. of Inf. Sci. & Eng., Lanzhou Univ., Lanzhou, China
Abstract :
Because of the diversity of the textures, pre-classification before the retrieval seems very necessary and important. We divided texture images into two categories: structure and random, based on binary Fourier spectrum and Shannon entropy as a pre-classification stage. Gabor wavelets is especially useful for texture analysis because of the tunable property of its scale and orientation, but it is sensitive to the directional change of a query image. Scale-invariance Gabor representation is used here after the adjustment step which can reduce the rotation variance of the query image to achieve rotation-invariance, scale-invariance and translation-invariance task in the first class. For the images in the latter class we use a combined rotation and scale invariant Gabor representation. The features we used are much less than conventional Gabor wavelets and therefore it is less time-consuming not only in feature extraction but also in similarity measurement. Simulation results using Brodatz database clearly show that our proposed rotation-invariant, scale-invariant and translation-invariant methods give rise to high retrieval performances.
Keywords :
Fourier transforms; feature extraction; image classification; image representation; image retrieval; image texture; Brodatz database; Shannon entropy; binary Fourier spectrum; feature extraction; invariant texture retrieval; preclassification stage; query image; random texture images; rotation-invariance; scale-invariance; scale-invariance Gabor representation; structure discrimination; texture analysis; translation-invariance; Content based retrieval; Discrete wavelet transforms; Entropy; Hidden Markov models; Image analysis; Image retrieval; Image texture analysis; Information retrieval; Wavelet analysis; Wavelet packets; Fourier spectrum; Gabor wavelets; Otsu´s n-thresholding method; Shannon entropy; binarization; content-based image retrieval (CBIR); rotation-invariant; scale-invariant; structure and random texture images; translation-invariant;
Conference_Titel :
Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3699-6
DOI :
10.1109/APCIP.2009.178