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Automatic estimation of a scale resolution in forensic images.

I Gertsovich1, M Nilsson2, J S Bartůněk1

  • 1Department of Applied Signal Processing, Blekinge Institute of Technology, Karlskrona, Sweden.

Forensic Science International
|December 24, 2017
PubMed
Summary

This study introduces an automatic method to detect scale resolution in shoeprint images using correlation vectors and Fourier analysis. This technique enables accurate digital image rescaling for forensic analysis and comparison.

Keywords:
Gray level co-occurrence matrixNear regular textureScale resolution estimationShoeprint imageTexture pattern periodicity

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Area of Science:

  • Forensic Science
  • Image Analysis
  • Computer Vision

Background:

  • Accurate scale resolution is crucial for forensic image analysis.
  • Manual scale detection can be time-consuming and prone to errors.
  • Digital comparison of forensic images requires consistent scaling.

Purpose of the Study:

  • To propose and evaluate a novel method for automatic scale resolution detection in shoeprint images.
  • To enable automatic rescaling of forensic images for consistent analysis.
  • To facilitate digital comparison of shoeprint evidence.

Main Methods:

  • A method creating a vector of correlations from co-occurrence matrices for each image row.
  • Scale resolution estimation using maxima in the Fourier spectrum of correlation vectors.
  • Evaluation on over 500 forensic and laboratory-acquired shoeprint images.

Main Results:

  • The proposed method successfully estimates scale resolution in shoeprint images.
  • Experimental results demonstrate the feasibility of automatic scale detection.
  • The technique is effective on images from both crime scenes and forensic labs.

Conclusions:

  • The automatic detection of scale resolution is achievable with the proposed method.
  • This technique can automate the rescaling of forensic images for 'one-to-one' printing.
  • Automated rescaling facilitates digital comparison of shoeprint evidence.