Knowledge-based automated feature extraction to categorize secondary digitized radiographs

Michael Kohnen; Frank Vogelsang; Berthold B. Wein; Markus W. Kilbinger; Rolf W. Guenther; Frank Weiler; Joerg Bredno; Joerg Dahmen

doi:10.1117/12.387733

6 June 2000 Knowledge-based automated feature extraction to categorize secondary digitized radiographs

Michael Kohnen, Frank Vogelsang, Berthold B. Wein, Markus W. Kilbinger, Rolf W. Guenther, Frank Weiler, Joerg Bredno, Joerg Dahmen

Author Affiliations +

Proceedings Volume 3979, Medical Imaging 2000: Image Processing; (2000) https://doi.org/10.1117/12.387733
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

An essential part of the IRMA-project (Image Retrieval in Medical Applications) is the categorization of digitized images into predefined classes using a combination of different independent features. To obtain an automated and content-based categorization, the following features are extracted from the image data: Fourier coefficients of normalized projections are computed to supply a scale- and translation-invariant description. Furthermore, histogram information and Co-occurrence matrices are calculated to supply information about the gray value distribution and textural information. But the key part of the feature extraction is the shape information of the objects represented by an Active Shape Model. The Active Shape Model supports various form variations given by a representative training set; we use one particular Active Shape Model for each image class. These different Active Shape Models are matched on preprocessed image data with a simulated annealing optimization. The different extracted features were chosen with regard to the different characteristics of the image content. They give a comprehensive description of image content using only few different features. Using this combination of different features for categorization results in a robust classification of image data, which is a basic step towards medical archives that allow retrieval results for queries of diagnostic relevance.

Citation Download Citation

Michael Kohnen, Frank Vogelsang, Berthold B. Wein, Markus W. Kilbinger, Rolf W. Guenther, Frank Weiler, Joerg Bredno, and Joerg Dahmen "Knowledge-based automated feature extraction to categorize secondary digitized radiographs", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387733

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available