An Abstract Image Representation Based on Edge Pixel Neighborhood Information (EPNI)

Authors:
Abdolah Chalechale;Alfred Mertins
Affiliations:
-;-
Venue:
EurAsia-ICT '02 Proceedings of the First EurAsian Conference on Information and Communication Technology
Year:
2002

Citing 7
Cited 0

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Photobook: content-based manipulation of image databases

International Journal of Computer Vision
VisualSEEk: a fully automated content-based image query system

MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Comparing Images Using the Hausdorff Distance

IEEE Transactions on Pattern Analysis and Machine Intelligence
Query by Visual Example - Content based Image Retrieval

EDBT '92 Proceedings of the 3rd International Conference on Extending Database Technology: Advances in Database Technology
Color and texture descriptors

IEEE Transactions on Circuits and Systems for Video Technology
MPEG-7 visual shape descriptors

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper we introduce a new abstract image representation based on Edge Pixel Neighborhood Information (EPNI). It is applied in image retrieval problem when user query is a fast drawn, rough example. The representation consists of two main elements. Aneigh borhood vector f and a vicinity table v. The former contains the frequencies of edge pixels with similar directions and the latter holds information about neighboring edge directions. An image similarity measure based on EPNI components is also designed and compared with some other measures known from the literature. Experimental results show a good recognition accuracy in a data set containing a wide range of color images.