Optimal detection of symmetry axis in digital chest X-ray images

• Type: Article in International Scientific Journal
• Date: 2003

Authors

Carlos Vinhais (Author) FEUP; Aurélio Campilho (Author) FEUP

Journal

The Journal is awaiting validation by the Administrative Services.

Title: INTERACTIVE SYSTEMS: DESIGN, SPECIFICATION, AND VERIFICATION

Vol. 2652

Pages: 1082-1089

Indexing

ISI Proceedings

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Scientific classification

CORDIS: Technological sciences > Engineering > Biomedical enginnering

Other information

Authenticus ID: P-000-K9Q

DOI: 10.1007/978-3-540-44871-6_125

Abstract (EN): We present a method for detecting the axis of bilateral symmetry in a digital chest X-ray image and subsequently measuring the degree of symmetry of the image. The detection is achieved by analysing rotated-reflected digital chest X-ray images and it is posed as a global optimization problem solved with a probabilistic genetic algorithm (PGA). The global search is initially based on natural peak orientation information related to the orientation of the symmetry axis. Only a few generations of the PGA are needed to achieve convergence to all the images in the database. This method is applied directly on the intensity input image and does not require any prior segmentation.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8