Image representation and retrieval using structure features

Xiang Scan Zhou, Thomas S. Huang

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes structural features for image representation and retrieval. Among various structural features are the water-filling features, which can be efficiently extracted from edge maps to represent the edge/structural information in the image. The advantages of the feature extraction algorithm include efficiency - it is a linear-time algorithm; and effectiveness - multiple feature components corresponding to different human perceptions can be extracted simultaneously. Since edge maps are usually not scale invariant, also proposed are the multiscale feature extraction and cross-scale matching schemes. Experiments show that the new features can catch salient edge/structure information and cross-scale matching improves the retrieval performance in a real-world image retrieval system.

Original languageEnglish (US)
Pages (from-to)1039-1042
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Volume15
Issue number1
StatePublished - 2000

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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