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A robust background correction algorithm for forensic bloodstain imaging using mean-based contrast adjustment.
Wee Chuen Lee1, Bee Ee Khoo1, Ahmad Fahmi Lim Abdullah2
1School of Electrical & Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia.
Summary
This study introduces a mean-based adaptive background correction algorithm (mABCA) to improve crime scene image visibility, particularly for bloodstains. The enhanced algorithm ensures consistent image brightness, overcoming limitations of previous methods.
Area of Science:
- Forensic Science
- Image Processing
- Computer Vision
Background:
- Background correction algorithm (BCA) enhances visibility of crime scene images, especially for untreated bloodstains.
- Consistent image brightness is crucial for BCA, but automatic camera exposure settings often create variations.
- Existing BCA methods struggle with images captured under differing illumination conditions.
Purpose of the Study:
- To present an improved background correction algorithm (BCA) that addresses brightness inconsistencies.
- To introduce mean-based contrast adjustment as a pre-correction step for uniform image brightness.
- To evaluate the effectiveness of the proposed mean-based adaptive BCA (mABCA) in enhancing bloodstain images.
Main Methods:
- Implemented mean-based contrast adjustment to standardize image mean brightness.
- Developed the mean-based adaptive BCA (mABCA) incorporating the pre-correction step.
- Tested mABCA on images captured under various illuminations (385 nm, 415 nm, 458 nm) and wavelengths.
- Evaluated mABCA's performance on untreated bloodstains on diverse surfaces.
Main Results:
- The proposed mABCA demonstrated robustness in processing images with varying brightness levels.
- mABCA successfully enhanced the visibility of untreated bloodstains under different lighting conditions.
- The pre-correction step effectively normalized image brightness, improving BCA implementation.
Conclusions:
- The mean-based adaptive BCA (mABCA) is a more robust solution for enhancing crime scene images compared to the original BCA.
- mABCA overcomes the main limitation of BCA by ensuring consistent image brightness.
- This improved algorithm offers significant potential for forensic image analysis.
