Title :
Texture feature based on local Fourier transform
Author :
Zhou, Feng ; Feng, Ju-fu ; Shi, Qing-Yun
Author_Institution :
Sch. of Math. Sci., Peking Univ., Beijing, China
Abstract :
Texture analysis plays an important role in image analysis and pattern recognition. Texture-based modelling has become a powerful tool for content-based image retrieval. A new texture feature named LFH is proposed based on the local-similarity and 8-neighbour gray-tone spatial dependencies by using local Fourier transform. We extracted a histogram of local Fourier coefficients maps of the texture image for texture classification and texture retrieval. Experiments on 13 samples of Brodatz textures demonstrate the efficiency and effect of texture classification. The performance of texture retrieval is illustrated
Keywords :
Fourier transforms; content-based retrieval; feature extraction; image classification; image retrieval; image texture; Brodatz textures; content-based retrieval; feature extraction; image analysis; image retrieval; local Fourier transform; pattern recognition; spatial dependencies; texture analysis; texture classification; texture feature; texture retrieval; Brightness; Content based retrieval; Discrete Fourier transforms; Fourier transforms; Histograms; Image analysis; Image retrieval; Image texture analysis; Pattern analysis; Pattern recognition;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958567
