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Edge Detection Evaluation: A New Normalized Figure of Merit

Abstract : Figure of merit represents an expression characterizing the performance of an algorithm. In edge detection assessment, it corresponds to a supervised evaluation by quantifying differences between a reference edge map and a candidate, computed by a performance measure/criterion. This paper introduces a new normalized supervised edge detection evaluation measure which provides an overall evaluation of the quality of a contour map, by taking into account the amount of false positives, false negatives and degrees of shifting. Finally, an objective assessment performed by varying the hysteresis thresholds on contours of real images shows that the new measure outperforms six other compared normalized methods, in term of evaluation and visualization of the detected contours.
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https://hal.mines-ales.fr/hal-02436951
Contributor : Administrateur Imt - Mines Alès <>
Submitted on : Monday, January 13, 2020 - 2:49:10 PM
Last modification on : Wednesday, June 24, 2020 - 4:18:15 PM

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Baptiste Magnier. Edge Detection Evaluation: A New Normalized Figure of Merit. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2019, Brighton, United Kingdom. pp.2407-2411, ⟨10.1109/ICASSP.2019.8683357⟩. ⟨hal-02436951⟩

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