A two dimensional dynamic programming (DP) matching algorithm is presented which is extended from conventional DP matching. In order to represent the color content of color images, a new concept, dominant color matrices is proposed. The retrieving strategy is divided into two phases to improve both speed and accuracy of the proposed retrieval. In the first phase, a group of candidate images, which are similar to the sample image, are produced by using the global color histogram intersection. In the second, dissimilar images in the group of candidate images are deleted by using the two dimensional DP matching algorithm. In addition, the proposed color-content similarity retrieval of images is used on an experimental database consisting of 120 varied color images. Experimental results show the proposed method is effective.
A method for content-based similarity retrieval of images using two dimensional DP matching algorithm
2001-01-01
635510 byte
Conference paper
Electronic Resource
English
British Library Conference Proceedings | 2001
|Content-based Similarity Retrieval of Images based on Spatial Color Distributions
British Library Conference Proceedings | 1999
|Similarity Retrieval of Trademark Images
British Library Conference Proceedings | 1999
|Word matching and retrieval from images
IEEE | 2017
|