论文信息 - Real-time recognition with the entire Brodatz texture database

Real-time recognition with the entire Brodatz texture database

The Brodatz Album has become the de facto standard for evaluating texture algorithms, with hundreds of studies having been applied to small sets of its images. The authors compare two powerful recognition algorithms, principal components analysis and multiscale autoregressive models, by evaluating them on a 999-image database derived from the entire Brodatz Album. The variety of homogeneous and nonhomogeneous images studied is thus nearly an order of magnitude larger than has been compared before, giving one snapshot of the state of the art in real-time texture recognition.<<ETX>>

[1] M. Unser. Local linear transforms for texture measurements , 1986 .

[2] Anil K. Jain,et al. Texture classification and segmentation using multiresolution simultaneous autoregressive models , 1992, Pattern Recognit..

[3] Yasuhito Suenaga,et al. Robust face identification scheme: KL expansion of an invariant feature space , 1992, Other Conferences.

[4] Rosalind W. Picard,et al. Finding similar patterns in large image databases , 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.