title: Color image retrieval based on hidden Markov models.
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.
authors.affiliation: Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu.
authors.forename: H C
authors.initials: HC
authors.lastname: Lin
authors.forename: L L
authors.initials: LL
authors.lastname: Wang
authors.forename: S N
authors.initials: SN
authors.lastname: Yang