Format

Send to

Choose Destination
See comment in PubMed Commons below
IEEE Trans Image Process. 2002;11(8):944-52. doi: 10.1109/TIP.2002.801585.

Fuzzy color histogram and its use in color image retrieval.

Author information

1
Dept. of Electr. Eng., California Univ., Riverside, CA 92521, USA. jhan@vislab.ucr.edu

Abstract

A conventional color histogram (CCH) considers neither the color similarity across different bins nor the color dissimilarity in the same bin. Therefore, it is sensitive to noisy interference such as illumination changes and quantization errors. Furthermore, CCHs large dimension or histogram bins requires large computation on histogram comparison. To address these concerns, this paper presents a new color histogram representation, called fuzzy color histogram (FCH), by considering the color similarity of each pixel's color associated to all the histogram bins through fuzzy-set membership function. A novel and fast approach for computing the membership values based on fuzzy c-means algorithm is introduced. The proposed FCH is further exploited in the application of image indexing and retrieval. Experimental results clearly show that FCH yields better retrieval results than CCH. Such computing methodology is fairly desirable for image retrieval over large image databases.

PMID:
18244688
DOI:
10.1109/TIP.2002.801585
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for IEEE Engineering in Medicine and Biology Society
    Loading ...
    Support Center