Work

Comparative Analysis of Canny Edge Detection Involving Hough Transform and Chuan Method in Forensic Segmentation of Firing Pin Impressions: Implications for Criminal Justice Studies

Year: 2024

Type: article

Abstract: This paper provides a comprehensive comparison of two widely used automatic image segmentation techniques-Canny edge detection combined with the Hough transform, and the Chuan method.Both techniques are applied to forensic image segmentation, specifically firing pin impressions.The results indicate that the Canny edge detection and Hough transform method achieves superior segmentation accuracy, with an average Jacard similarity measure(JSM) of 94.1%.In contrast, the Chuan method, although computationally more efficient, achieves a lower average JSM of 90.5%.The study concludes that for high-stakes applications such as forensic analysis, the Canny method is more suitable, while the Chuan method is better suited for large-scale applications where high precision is less critical.

Source: International Journal of Academic Research in Business and Social Sciences

DOI: 10.6007/ijarbss/v14-i12/24407

Authors: Norazlina Abd Razak, Shahrudin Zakaria, Hanissah Mohamad@Sulaiman, Farah Shahnaz Feroz

Institution: Universiti Teknikal Malaysia Melaka

Language: English

Topic: Image and Object Detection Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Universiti Teknikal Malaysia Melaka

OpenAlex ID: W4405979436