| High-precision boundary length estimation by utilizing gray-level information N Sladoje, J Lindblad IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (2), 357-363, 2008 | 63 | 2008 |
| Measurements of digitized objects with fuzzy borders in 2D and 3D N Sladoje, I Nyström, PK Saha Image and Vision Computing 23 (2), 123-132, 2005 | 56 | 2005 |
| A graph-based framework for sub-pixel image segmentation F Malmberg, J Lindblad, N Sladoje, I Nyström Theoretical Computer Science 412 (15), 1338-1349, 2011 | 50 | 2011 |
| Linear time distances between fuzzy sets with applications to pattern matching and classification J Lindblad, N Sladoje IEEE Transactions on Image Processing 23 (1), 126-136, 2013 | 40 | 2013 |
| Efficiency of characterizing ellipses and ellipsoids by discrete moments J Zunic, N Sladoje IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (4), 407-414, 2000 | 35 | 2000 |
| Shape signatures of fuzzy star-shaped sets based on distance from the centroid J Chanussot, I Nyström, N Sladoje Pattern Recognition Letters 26 (6), 735-746, 2005 | 34 | 2005 |
| Estimation of Feret’s diameter from pixel coverage representation of a shape S Dražić, N Sladoje, J Lindblad Pattern Recognition Letters 80, 37-45, 2016 | 30 | 2016 |
| Estimation of moments of digitized objects with fuzzy borders N Sladoje, J Lindblad International Conference on Image Analysis and Processing, 188-195, 2005 | 27 | 2005 |
| Pixel coverage segmentation for improved feature estimation N Sladoje, J Lindblad International Conference on Image Analysis and Processing, 929-938, 2009 | 26 | 2009 |
| Fast and robust symmetric image registration based on distances combining intensity and spatial information J Öfverstedt, J Lindblad, N Sladoje IEEE Transactions on Image Processing 28 (7), 3584-3597, 2019 | 23 | 2019 |
| Defuzzification of spatial fuzzy sets by feature distance minimization N Sladoje, J Lindblad, I Nyström Image and Vision Computing 29 (2-3), 127-141, 2011 | 20 | 2011 |
| Perimeter and area estimations of digitized objects with fuzzy borders N Sladoje, I Nyström, PK Saha International Conference on Discrete Geometry for Computer Imagery, 368-377, 2003 | 18 | 2003 |
| Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness J Lindblad, N Sladoje Pattern Recognition Letters 33 (6), 728-738, 2012 | 17 | 2012 |
| Regularized image denoising based on spectral gradient optimization T Lukić, J Lindblad, N Sladoje Inverse Problems 27 (8), 085010, 2011 | 16 | 2011 |
| Estimation of linear deformations of 2D and 3D fuzzy objects A Tanács, J Lindblad, N Sladoje, Z Kato Pattern Recognition 48 (4), 1391-1403, 2015 | 14 | 2015 |
| A new set distance and its application to shape registration V Ćurić, J Lindblad, N Sladoje, H Sarve, G Borgefors Pattern Analysis and Applications 17 (1), 141-152, 2014 | 14 | 2014 |
| Blind restoration of images degraded with mixed Poisson-Gaussian noise with application in transmission electron microscopy B Bajić, J Lindblad, N Sladoje 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 123-127, 2016 | 13 | 2016 |
| Recovering affine deformations of fuzzy shapes A Tanács, C Domokos, N Sladoje, J Lindblad, Z Kato Scandinavian Conference on Image Analysis, 735-744, 2009 | 13 | 2009 |
| On set distances and their application to image registration J Lindblad, V Curic, N Sladoje 2009 Proceedings of 6th International Symposium on Image and Signal …, 2009 | 12 | 2009 |
| Bioimage Data Analysis Workflows K Miura, N Sladoje Springer Nature, 2020 | 11 | 2020 |
Joakim LindbladCentre for Image Analysis, Uppsala University, SwedenVerified email at cb.uu.se
