A New Method for Color Image Indexing Based on Compression and Mathematical Morphology
Abstract
In this paper, a new method for color image representation is introduced and image compressionindexing system is described. In the proposed indexing approach, color features are extracted from the compressed image. The performance of the proposed method is evaluated using an image database of 1000 images from 10 semantic groups, as well as a number of standard images based on indexing and compression ability. The experimental results suggest the high performance of the proposed method.
Keywords
content-based image retrieval, image representation, indexing, compression, mathematical morphology, color feature
