Welcome to the InfoSci Platform
Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems

Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems

Petra Perner
Copyright: © 2009 |Pages: 23
ISBN13: 9781605660509|ISBN10: 1605660507|EISBN13: 9781605660516
DOI: 10.4018/978-1-60566-050-9.ch050
Cite Chapter Cite Chapter

MLA

Perner, Petra. "Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems." Medical Informatics: Concepts, Methodologies, Tools, and Applications, edited by Joseph Tan, IGI Global, 2009, pp. 682-704. https://doi.org/10.4018/978-1-60566-050-9.ch050

APA

Perner, P. (2009). Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems. In J. Tan (Ed.), Medical Informatics: Concepts, Methodologies, Tools, and Applications (pp. 682-704). IGI Global. https://doi.org/10.4018/978-1-60566-050-9.ch050

Chicago

Perner, Petra. "Image Mining for the Construction of Semantic-Inference Rules and for the Development of Automatic Image Diagnosis Systems." In Medical Informatics: Concepts, Methodologies, Tools, and Applications, edited by Joseph Tan, 682-704. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-050-9.ch050

Export Reference

Mendeley
Favorite

Abstract

This chapter introduces image mining as a method to discover implicit, previously unknown and potentially useful information from digital image and video repositories. It argues that image mining is a special discipline because of the special type of data and therefore, image-mining methods that consider the special data representation and the different aspects of image mining have to be developed. Furthermore, a bridge has to be established between image mining and image processing, feature extraction and image understanding since the later topics are concerned with the development of methods for the automatic extraction of higher-level image representations. We introduce our methodology, the developed methods and the system for image mining which we successfully applied to several medical image-diagnostic tasks.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.