Modeling the spatial-chromatic distribution of images

Author

Lin, Dong-Woei ; Yang, Shih-Hsuan

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ. of Technol.

Volume

2

fYear

2004

fDate

30-30 June 2004

Firstpage

1411

Abstract

The conventional global color histogram bears only the color composition information of an image. Further incorporating color spatial information helps identify a color image. However, the joint spatial-chromatic relationship of real-world images has not been rigorously explored in the literature. We present a statistical model for the distance distribution of dominant colors. From an empirical evaluation of large image databases, we discover that the two-parameter Nakagami-m distribution captures well the spatial characteristics of colors. Over 90% accuracy with respect to the more complicated color autocorrelogram is achieved under this model

Keywords

image classification; image colour analysis; statistical analysis; statistical distributions; Nakagami-m distribution; color autocorrelogram; color image; dominant color distance distribution; global color histogram; image characterization; image spatial-chromatic distribution; statistical model; Computer science; Histograms; Image color analysis; Image databases; Indexing; Information analysis; Nakagami distribution; Pixel; Region 3; Spatial coherence;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-8603-5

Type

conf

DOI

10.1109/ICME.2004.1394498

Filename

1394498