On the use of hierarchical color moments for image indexing and retrieval

Abstract

Abstruct -Given a database of images and their associated data, we want to search the database for a known image so as to retrieve the data associated with that image. This paper proposes a new imagebased indexing scheme which enables the retrieval of data associated with an image The approach proposed here is based on using a hierarchy of color moments and offers a compromise between methods based on multiple color moments of segmented regions and those based on global color moments. The method retains positional iuformation better than the a h o n schemes and naturally leads to a multi-level comparison strategy where mismatches are quickly discarded at higher levels. Contrary to other schemes where t h m moments were used, the proposed methods provide better storage efficiency and less computational efforts as it o d y employs the fmt two moments. Simulation results show the efficiency and accuracy of the proposed scheme.

Image Retrieval Method Based on Vision Feature of Color

“…If r = 1 or r = 2, the above formula calculates the Euclidean distance. Another wildly used method for distance calculation is given as formula (3), called Histogram Intersection [6], which was proposed by Swain and Ballard:…”

A Blend of Analytical and Numerical Methods to Compute Orthogonal Image Moments over a Unit Disk

“…Image moments are important in many fields, including object recognition, image registration, robot navigation, image retrieval, watermarking, medical imaging, and forensic applications (Flusser and Zitová [1]; Liu et al [2]; Zitová and Flusser [3]; Clemente et al [4]; Hosny et al [5]; Xu et al [6]; Mostafa et al [7]; Xin et al [8], Xin et al [9]; Singh and Upneja [10]; Li et al [11]; Hosny and Darwish [12]; Ma et al [13]; Mahdian and Saic [14]). Image moments of a twodimensional function defined over a compact domain (such as an image function) are defined as the double integration of its product with a two dimensional basis polynomial function (Flusser and Zitová [15]).…”