Image retrieval and perceptual similarity

Perceptual image similarity experiments

In this paper, we study how human observers judge image similarity. To do so, we have conducted two psychophysical scaling experiments and have compared the results to two algorithmic image similarity metrics. For these experiments, we selected a set of 97 digitized photographic images which represent a range of semantic categories, viewing distances, and colors. We then used the two perceptual...

Image retrieval by texture similarity

Accuracy and e/ciency are the two important issues in designing content-based image retrieval systems. In this paper, we present an e/cient image retrieval system with high performance of accuracy based on two novel features, the composite sub-band gradient vector and the energy distribution pattern string. Both features are generated from the sub-images of a wavelet decomposition of the origin...

Perceptual Grouping for Image Retrieval and Classification

Perceptual Color Image Similarity Using Fuzzy Metrics

s of MMA2015, May 26–29, 2015, Sigulda, Latvia c © 2015 PERCEPTUAL COLOR IMAGE SIMILARITY USING FUZZY METRICS SVETLANA GREČOVA, SAMUEL MORILLAS, ALEXANDER ŠOSTAK 1 Department of Mathematics, University of Latvia Zellu street 8, Riga LV1002, Latvia E-mail: [email protected] Instituto Universitario de Matemática Pura y Aplicada, Universidad Politécnica de Valencia Camino de Vera s/n 4602...

Using Texture in Image Similarity and Retrieval

Texture has been one of the most popular representations in image retrieval. Our image database retrieval system uses two sets of textural features, first one being the line-angle-ratio statistics which is a texture histogram computed from the properties of the surroundings and the spatial relationships of intersecting lines, second one being the variances of gray level spatial dependencies com...