Image retrieval using local color features

Tzu Chien Wu, Jin Jang Leou*, Li Wei Kang

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

In this study, an image indexing and retrieval approach using local color features and a modified weighted color distortion measure is proposed. In the proposed approach, each image is segmented into several regions by a watershed segmentation algorithm, and then the mutual relationships between connected color regions are extracted as local color features. That is, an image can be represented as a set of connected (adjacent) color regions and the mutual relationships between connected color regions. In the image retrieval stage, the similarity between a query image and a target image will contain not only direct region correspondence but also the mutual relationships between connected color regions. A modified weighted color distortion measure is proposed, in which different color elements in the YUV color space will receive different weights so that the illumination variation effect will be greatly reduced.

Original languageEnglish
Article number2.3-5
Pages (from-to)55-56
Number of pages2
JournalDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Publication statusPublished - 2005
Externally publishedYes
Event2005 Digest of Technical Papers - International Conference on Consumer Electronics, ICCE 2005 - Las Vegas, NV, United States
Duration: 2005 Jan 82005 Jan 12

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Image retrieval using local color features'. Together they form a unique fingerprint.

Cite this