Institute of Information Theory and Automation

Publication details

Robust histogram-based image retrieval

Journal Article

Höschl Cyril, Flusser Jan

serial: Pattern Recognition Letters vol.69, 1 (2016), p. 72-81

project(s): GA15-16928S, GA ČR

keywords: Image retrieval, Noisy image, Histogram, Convolution, Moments, Invariants

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abstract (eng):

We present a histogram-based image retrieval method which is designed specifically for noisy query images. The images are reretrieved according to histogram similarity. To reach high robustness to noise, the histograms are described by newly proposed features which are insensitive to a Gaussian additive noise in the original images. The advantage of the new method is proved theoretically and demonstrated experimentally on real data.


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Institute of Information Theory and Automation