- FBoundary
- Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues. David R. Martin, Member, IEEE, Charless C. Fowlkes, and Jitendra Malik, Member, IEEE
- Precision
- FMeasure
- Segmentation Covering
- Variation of Information
- RandIndex
- FMeasure for regions
- Precision Recall for Objects and Parts
- Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation Jordi Pont-Tuset and Ferran Marques. Universitat Politecnica de Catalunya BarcelonaTech
- Boundary Displacement Error
References:
- ECW
- The use of visible color difference in the quantitative evaluation of color image segmentation. Hsin-Chia Chen and Sheng-Jyh Wang
- Zeboudj
- Zéboudj, Rachid. Filtrage, seuillage automatique, contraste et contours: du pré-traitement à l'analyse d'image. Diss. Saint-Etienne, 1988.
- Unsupervised Evaluation of Image Segmentation Application to Multi-spectral Images
- ValuesEntropy
- An Entropy-based Objective Evaluation Method for Image Segmentation. Hui Zhang*, Jason E. Fritts and Sally A. Goldman
- LiuYangF
- Multiresolution Color Image Segmentation. Jianqing Liu and Yee-Hong Yang, Senior Member, IEEE
- FPrime
- Quantitative evaluation of color image segmentation results. M. Borsotti a, P. Campadelli a,2, R. Schettini b.
- Q
- Quantitative evaluation of color image segmentation results. M. Borsotti a, P. Campadelli a,2, R. Schettini b,
- FRCRGBD
- Fusion of geometry and color information for scene segmentation. IEEE Journal of Selected Topics in Signal Processing, 6(5), 505-521. Dal Mutto, C., Zanuttigh, P., & Cortelazzo, G. M. (2012).