Color image retrieval based on hidden Markov models

Author

Lin, Hsin-Chih ; Wang, Ling-Ling ; Yang, Shi-Nine

Author_Institution

Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

6

Issue

2

fYear

1997

fDate

2/1/1997 12:00:00 AM

Firstpage

332

Lastpage

339

Abstract

In this correspondence, a new approach to retrieving images from a color image database is proposed. Each image in the database is represented by a two-dimensional pseudo-hidden Markov model (2-D PHMM), which characterizes the chromatic and spatial information about the image. In addition, a flexible pictorial querying method is used, by which users can paint the rough content of the desired images in a query picture. Image matching is achieved by comparing the query picture with each 2-D PHMM in the database. Experimental results show that the proposed approach is indeed effective

Keywords

hidden Markov models; image colour analysis; image matching; image representation; information retrieval; query formulation; visual databases; 2D PHMM; chromatic information; color image database; color image retrieval; flexible pictorial querying method; hidden Markov models; image matching; query picture; spatial information; two-dimensional pseudo-hidden Markov model; Dynamic range; Hidden Markov models; Image analysis; Image coding; Image color analysis; Image retrieval; Image segmentation; Pixel; Radar signal processing; Signal processing algorithms;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/83.551706

Filename

551706