Finding similar patterns in large image databases
Rosalind W. Picard, Taoufik El Kabir · IEEE International Conference on Acoustics Speech and Signal Processing · 1993
Automated searching through large sets of images to find a pattern 'similar to this one' is considered. A key recognition method is evaluated on a library of almost 1000 images, based on the entire Brodatz texture album. The features used for searching rely on a significant improvement to the traditional Karhunen-Loeve (KL) transform which makes it shift-invariant. Results are shown for a variety of false alarm rates and for different subsets of KL features.>