20 December 1999 Geometric histogram: a distribution of geometric configurations of color subsets
Author Affiliations +
Proceedings Volume 3964, Internet Imaging; (1999); doi: 10.1117/12.373480
Event: Electronic Imaging, 2000, San Jose, CA, United States
Abstract
Spatial distribution of color is very important for refining color histograms use din indexing and retrieving color images. Existing histogram refinement techniques are based on the spatial distribution of a single color or color pair. In this paper, the concept of spatial distribution of a subset of colors, which is defined as the occurrence of different geometric configurations of the color set, is used to provide new clues for refining traditional color histogram. The concept is a unification of some existing techniques such as color density maps, color correlogram and color tuples. Experimental results demonstrate that triangular geometric histogram, on e of the simplest special cases of geometric histograms, which is defined as the occurrence of a list of isosceles right triangles of different side lengths of color triples, is more desirable than existing techniques for content-based image retrieval, especially when the database in question consists of on-line color images which are extremely heterogenous in terms of the content of images, camera types, lighting conditions and so on.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Aibing Rao, Rohini K. Srihari, Zhongfei Zhang, "Geometric histogram: a distribution of geometric configurations of color subsets", Proc. SPIE 3964, Internet Imaging, (20 December 1999); doi: 10.1117/12.373480; https://doi.org/10.1117/12.373480
PROCEEDINGS
11 PAGES


SHARE
KEYWORDS
Current controlled voltage source

Image retrieval

Databases

Content based image retrieval

Quantization

Cameras

Colon

Back to Top