Color image retrieval based on hidden Markov models. 1997

H C Lin, and L L Wang, and S N Yang
Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu.

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.

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