Title :
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
fDate :
2/1/1997 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
