From contours to ground truth: How to evaluate edge detectors by filtering
| Autor: | Hasan ABDULRAHMAN, Magnier, B., Montesinos, P. |
|---|---|
| Přispěvatelé: | Laboratoire de Génie Informatique et Ingénierie de Production (LGI2P), IMT - MINES ALES (IMT - MINES ALES), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Magnier, Baptiste, Skala, Václav |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
objektivní hodnocení
distance measure [INFO.INFO-TI] Computer Science [cs]/Image Processing [eess.IV] [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] měřená vzdálenost kontrolované hodnocení detekce hran zemní skutečnost Edge detection supervised evaluation objective evaluation ground truth |
| Zdroj: | Journal of WSCG Journal of WSCG, University of West Bohemia, Czech Republic, 2017, 25 (2), pp.133-142 HAL Scopus-Elsevier |
| ISSN: | 1213-6972 1213-6964 |
| Popis: | International audience; Edge detection remains a crucial stage in numerous image processing applications. Thus, an edge detection technique needs to be assessed before use it in a computer vision task. As dissimilarity evaluations depend strongly of a ground truth edge map, an inaccurate datum in terms of localization could advantage inaccurate precise edge detectors or/and favor inappropriate a dissimilarity evaluation measure. Hence, in this work, we demonstrate how to label these ground truth data in a semi-automatic way. Moreover, several referenced-based boundary detection evaluations are detailed and applied toward an objective assessment. Thus, each measure is compared by varying the threshold of the thin edges. Indeed, theoretically, the minimum score of the measure corresponds to the best edge map, compared to the ground truth. Finally, experiments on many images using six edge detectors show that the new ground truth database allows an objective comparison of numerous dissimilarity measures |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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