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.
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