Pattern Recognition
A blob detector in color images
Proceedings of the 6th ACM international conference on Image and video retrieval
Image clustering using semantic tolerance relation model
IMSA'07 IASTED European Conference on Proceedings of the IASTED European Conference: internet and multimedia systems and applications
A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval
Journal of Visual Communication and Image Representation
Retrieval of images by spatial and object similarities
Information Processing and Management: an International Journal
Color-based image retrieval using perceptually modified Hausdorff distance
Journal on Image and Video Processing - Color in Image and Video Processing
Image clustering using semantic tolerance relation model
EurolMSA '07 Proceedings of the Third IASTED European Conference on Internet and Multimedia Systems and Applications
Unbalanced region matching based on two-level description for image retrieval
Pattern Recognition Letters
Perceptual color descriptor based on spatial distribution: A top-down approach
Image and Vision Computing
Structural similarity metrics for texture analysis and retrieval
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A color- and texture-based image segmentation algorithm
Machine Graphics & Vision International Journal
A linear-time approximation of the earth mover's distance
Proceedings of the 20th ACM international conference on Information and knowledge management
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Optimal matching of images using combined color feature and spatial feature
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Image retrieval based on co-occurrence matrix using block classification characteristics
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
A weighted dominant color descriptor for content-based image retrieval
Journal of Visual Communication and Image Representation
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Color descriptors are among the most important features used in image analysis and retrieval. Due to its compact representation and low complexity, direct histogram comparison is a commonly used technique for measuring the color similarity. However, it has many serious drawbacks, including a high degree of dependency on color codebook design, sensitivity to quantization boundaries, and inefficiency in representing images with few dominant colors. In this paper, we present a new algorithm for color matching that models behavior of the human visual system in capturing color appearance of an image. We first develop a new method for color codebook design in the Lab space. The method is well suited for creating small fixed color codebooks; for image analysis, matching, and retrieval. Then we introduce a statistical technique to extract perceptually relevant colors. We also propose a new color distance measure that is based on the optimal mapping between two sets of color components representing two images. Experiments comparing the new algorithm to some existing techniques show that these novel elements lead to better match to human perception in judging image similarity in terms of color composition.