DocumentCode :
827457
Title :
Techniques for the segmentation of striation patterns
Author :
Heizmann, Michael
Author_Institution :
Fraunhofer IITB Inst. fur Inf.s und Datenverarbeitung, Karlsruhe, Germany
Volume :
15
Issue :
3
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
624
Lastpage :
631
Abstract :
In this contribution, image processing techniques are investigated to robustly segment faint striation patterns from mainly isotropic background areas. Whereas well-known procedures to determine local anisotropy can be applied directly to single images, this paper describes an alternative strategy that uses an illumination series. The series is obtained with a spot illumination whose azimuth is varied systematically. The technique is based on the characteristics of the local contrast with respect to the azimuth of the illumination: Whereas pronounced maxima of the local contrast can be observed when the striae are illuminated perpendicularly, an isotropic background texture shows less distinct maxima for random azimuth angles. The qualification of the approach is demonstrated on the segmentation of faint tool marks in forensic science. Experimental results show that the methodology ensures the correct segmentation of such marks.
Keywords :
image segmentation; image texture; anisotropy analysis; forensic science; image processing techniques; striation patterns segmentation; Anisotropic magnetoresistance; Azimuth; Forensics; Image databases; Image processing; Image segmentation; Light sources; Lighting; Qualifications; Robustness; Anisotropy analysis; forensic science; illumination series; image fusion; oriented patterns; striation patterns; Algorithms; Forensic Sciences; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Pattern Recognition, Automated;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2005.863038
Filename :
1593666
Link To Document :
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