Edge detection of reflectance transformation imaging for colorless traces

Yunchao Tang; Lihua Huang; Jie Dai; Huijie Huang

doi:10.1117/12.2606693

24 November 2021 Edge detection of reflectance transformation imaging for colorless traces

Yunchao Tang, Lihua Huang, Jie Dai, Huijie Huang

Author Affiliations +

Proceedings Volume 12065, AOPC 2021: Optical Sensing and Imaging Technology; 120652O (2021) https://doi.org/10.1117/12.2606693
Event: Applied Optics and Photonics China 2021, 2021, Beijing, China

Abstract

Reflectance Transformation Imaging (RTI) is a computational photography technology that can enhance the legibility and the fine details of the sample. Colorless trace is a special kind of trace with shallow depth and its grayscale is similar to the background. It is difficult to perceive details of these traces by traditional observation and detection methods. In this paper, we propose some improved detection methods which combine RTI with the Canny algorithm to get more details of colorless trace. The threshold is one of the key factors which affect the performance of the Canny algorithm so we put forward a threshold selection method based on the gradient histogram of the image. Three detection methods that combine RTI with the improved Canny algorithm are proposed in this paper. The experimental results show that these detection methods can extract weak and colorless traces effectively, and would have great potential application in criminal investigation.

Citation Download Citation

Yunchao Tang, Lihua Huang, Jie Dai, and Huijie Huang "Edge detection of reflectance transformation imaging for colorless traces", Proc. SPIE 12065, AOPC 2021: Optical Sensing and Imaging Technology, 120652O (24 November 2021); https://doi.org/10.1117/12.2606693

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