Image Mining: Trends and Developments

  • Wynne Hsu
  • Mong Li Lee
  • Ji Zhang
Article

DOI: 10.1023/A:1015508302797

Cite this article as:
Hsu, W., Lee, M.L. & Zhang, J. Journal of Intelligent Information Systems (2002) 19: 7. doi:10.1023/A:1015508302797

Abstract

Advances in image acquisition and storage technology have led to tremendous growth in very large and detailed image databases. These images, if analyzed, can reveal useful information to the human users. Image mining deals with the extraction of implicit knowledge, image data relationship, or other patterns not explicitly stored in the images. Image mining is more than just an extension of data mining to image domain. It is an interdisciplinary endeavor that draws upon expertise in computer vision, image processing, image retrieval, data mining, machine learning, database, and artificial intelligence. In this paper, we will examine the research issues in image mining, current developments in image mining, particularly, image mining frameworks, state-of-the-art techniques and systems. We will also identify some future research directions for image mining.

image mining image indexing and retrieval object recognition image classification image clustering association rule mining 

Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Wynne Hsu
    • 1
  • Mong Li Lee
    • 1
  • Ji Zhang
    • 1
  1. 1.School of ComputingNational University of SingaporeSingapore

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