In this paper we present a very general approach to indexing and retrieval of images in image database systems. We allow different ways of indexing and matching for objects in an image, and integrate them with our existing approach of the generalized extended pseudo-2D string and generalized combined 2D string representation of the image to formulate a more general framework for iconic indexing...

In this paper, we present a method to represent achromatic and chromatic image signals independently for content-based image indexing and retrieval for image database applications. Starting from an opponent colour representation, human colour vision theories and modern digital signal processing technologies are applied to develop a compact and computationally e-cient visual appearance model for...

Abstract One of the basic problems in the creating of the Realistic Image Databases (RIDB) structure is the efficient organization of the image retrieval. As a result of the analyses of the retrieval strategies we made, incl. GIS realistic images, we can make the conclusion that the solution of the problem for effective image retrieval is the approach for image sorting or indexing. Textand cont...

Image matching is a basic task in three-dimensional reconstruction, which, recent years, has attracted extensive attention academic and industrial circles. However, when dealing with large-scale image datasets, these methods have low accuracy slow speeds. To improve the effectiveness of modern methods, this paper proposes an method for 3D reconstruction. The proposed can obtain high through has...