Application of the laplacian pyramid decomposition to the enhancement of digital dental radiographic images for the automatic person identification

Authors:
Dariusz Frejlichowski;Robert Wanat
Affiliations:
Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Szczecin, Poland;Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Szczecin, Szczecin, Poland
Venue:
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part II
Year:
2010

Citing 1
Cited 2

A content-based system for human identification based on bitewing dental X-ray images

Pattern Recognition

Automatic segmentation of digital orthopantomograms for forensic human identification

ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Extraction of teeth shapes from orthopantomograms for forensic human identification

CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper provides some experimental results on medical images enhancement, namely digital dental radiographic images of entire dentition — pantomograms. This problem is a first step in the process of automatic identification of persons basing on the mentioned kind of images. The most crucial task is the emphasizing of some characteristics, e.g. shapes of the teeth and dental fillings. These features are widely used as an input for the methods of automatic dental identification. In the paper the Laplacian pyramid-based image enhancement approach is utilized. This method has been successfully used for other radiographic images — mammograms and computed tomograms (CTs). Exemplary methods of uniform and non-uniform Laplacian pyramid enhancement are presented along with their influence on a typical image.