Vector-City Vector Distance Transform

✍ Scribed by Richard Satherley; Mark W. Jones

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 400 KB
• Volume: 82
• Category: Article
• ISSN: 1077-3142
• DOI: 10.1006/cviu.2001.0915

✦ Synopsis

This paper will examine the current chamfer and vector distance transforms for encoding objects as distance fields. A new vector distance transform is introduced which uses the city-block chamfer distance transform as a basis. Detailed error analysis using real CT data is presented, demonstrating the improved accuracy of the new approach over existing methods. The production of a subvoxel accurate distance field is also demonstrated by employing an improved classification. Distance fields are shown for skull and chess piece datasets.