Analysis of ROC for Edge Detectors

• URL: http://arxiv.org/abs/2305.17820v1
• Date: Sun, 28 May 2023 22:47:54 GMT
• Title: Analysis of ROC for Edge Detectors
• Authors: Kai Yi Ji
• Abstract summary: This paper presents an evaluation of edge detectors using receiver operating characteristic (ROC) analysis on the BIPED dataset. We observed that while ROC analysis is suitable for certain edge filters, it presents challenges when accurately measuring their performance using ROC metrics. To address this issue, we introduce customization techniques to enhance the performance of these filters, enabling more accurate evaluation.
• Score: 14.494626833445915
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This paper presents an evaluation of edge detectors using receiver operating characteristic (ROC) analysis on the BIPED dataset. Our study examines the benefits and drawbacks of applying this technique in Matlab. We observed that while ROC analysis is suitable for certain edge filters, but for filters such as Laplacian, Laplacian of Gaussian, and Canny, it presents challenges when accurately measuring their performance using ROC metrics. To address this issue, we introduce customization techniques to enhance the performance of these filters, enabling more accurate evaluation. Through our customization efforts, we achieved improved results, ultimately facilitating a comprehensive assessment of the edge detectors.

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