Affordable Access

Publisher Website

Similar shape retrieval using a structural feature index

Authors
Journal
Information Systems
0306-4379
Publisher
Elsevier
Publication Date
Volume
18
Issue
7
Identifiers
DOI: 10.1016/0306-4379(93)90005-l
Keywords
  • Content-Based Retrieval
  • Iconic Indexing
  • Image Database
  • Visual Information Management

Abstract

Abstract In image database systems, we often want to retrieve images whose contents satisfy certain conditions specified in an iconic query (i.e. queries that involve input images and conditions on them). One type of image data retrieval called ‘shape similarity-based retrieval” involves retrieval of images containing one or more shapes similar to the shapes specified in the query or shapes present in the query image. In this paper, a new approach to shape similarity-based retrieval is proposed. The proposed approach is flexible enough to handle query images with overlapping or touching parts. In this approach a shape is represented by a set of boundary components, called features. Each structural feature is encoded as a point in multidimensional space. A similar or identical structural component (or shape) can be found by organizing the data in any multidimensional point access index structure. A prototype system is described in detail. Some experimental results are also presented to demonstrate the performance of the proposed technique.

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

Shape retrieval using combined Fourier features

on Optics Communications Jan 01, 2011

Feature selection using structural similarity

on Information Sciences Sep 01, 2012

A similarity-based leaf image retrieval scheme: Jo...

on Computer Vision and Image Unde... Jan 01, 2008
More articles like this..