Estimation of Feret’s diameter from pixel coverage representation of a shape

Pattern Recognition Letters - Tập 80 - Trang 37-45 - 2016
Slobodan Dražić1, Nataša Sladoje2,3, Joakim Lindblad2,3
1Faculty of Engineering, University of Novi Sad, Trg Dositeja Obradovića 6, 21000 Novi Sad, Serbia
2Centre for Image Analysis, Uppsala University, Box 337, 751 05 Uppsala, Sweden
3Mathematical Institute, Serbian Academy of Sciences and Arts, Kneza Mihaila 36, 11 000 Beograd, Serbia

Tài liệu tham khảo

Church, 1968, Problems associated with the use of the ratio of Martin’s diameter to Feret’s diameter as a profile shape factor, Powder Technol., 2, 27, 10.1016/0032-5910(68)80030-0 Žunić, 2012, Analysis of a shape descriptor: distance between two shape centroids versus shape diameter, 1185 Wagner, 2012, Automated spore measurements using microscopy, image analysis, and peak recognition of near-monodisperse aerosols, Aerosol Sci. Technol., 46, 862, 10.1080/02786826.2012.674232 Igathinathane, 2009, Machine vision based particle size and size distribution determination of airborne dust particles of wood and bark pellets, Powder Technol., 196, 202, 10.1016/j.powtec.2009.07.024 Dražić, 2011, Precise estimation of the projection of a shape from a pixel coverage representation, 569 Stoyan, 1995, vol. 1 Merkus, 2009, vol. 17 Stelldinger, 2005, Towards a general sampling theory for shape preservation, Image Vis. Comput., 23, 237, 10.1016/j.imavis.2004.06.003 Falcao, 2004, The image foresting transform: theory, algorithms, and applications, IEEE Trans. Pattern Anal. Mach. Intell., 26, 19, 10.1109/TPAMI.2004.1261076 Fouard, 2006, An objective comparison between gray weighted distance transforms and weighted distance transforms on curved spaces, vol. 4245, 259 Ciesielski, 2011, Linear time algorithms for exact distance transform, J. Math. Imaging Vis., 39, 193, 10.1007/s10851-010-0232-4 Ciesielski, 2014, Efficient algorithm for finding the exact minimum barrier distance, Comput. Vis. Image Understanding, 123, 53, 10.1016/j.cviu.2014.03.007 Sladoje, 2009, High-precision boundary length estimation by utilizing gray-level information, IEEE Trans. Pattern Anal. Mach. Intell., 31, 357, 10.1109/TPAMI.2008.184 Sladoje, 2012, The coverage model and its use in image processing, vol. 15, 39 Sladoje, 2009, Pixel coverage segmentation for improved feature estimation, vol. 5716, 929 Malmberg, 2011, A graph-based framework for sub-pixel image segmentation, Theor. Comput. Sci., 412, 1338, 10.1016/j.tcs.2010.11.030 Lindblad, 2012, Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness, Pattern Recognit. Lett., 33, 728, 10.1016/j.patrec.2011.12.014 Gustavson, 2011, Anti-aliased Euclidean distance transform, Pattern Recognit. Lett., 32, 252, 10.1016/j.patrec.2010.08.010 Tanács, 2015, Estimation of linear deformations of 2D and 3D fuzzy objects, Pattern Recognit., 48, 1391, 10.1016/j.patcog.2014.10.006 Moshavegh, 2012, Automated segmentation of free-lying cell nuclei in pap smears for malignancy-associated change analysis, 5372