[1]
K. Mikolajczyk and C. Schmid, A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 10 (2005) 1615-1630.
DOI: 10.1109/tpami.2005.188
Google Scholar
[2]
D.A. Forsyth and J. Ponce, Computer Vision: A Modern Approach (2nd Edition), Prentice Hall, (2011).
Google Scholar
[3]
J. Canny, A computational approach to edge detection, IEEE Transactions on pattern analysis and machine intelligence, 8, 6 (1986) 679-698.
DOI: 10.1109/tpami.1986.4767851
Google Scholar
[4]
R.C. Gonzalez, Digital image processing, Prentice Hall, (2008).
Google Scholar
[5]
А.V. Vlasov and I.V. Tsapko, Canny algorithm modification for processing radiographic imaging, Siberian journal of science, 4, 10 (2013) 120-127.
Google Scholar
[6]
D. Comaniciu and P. Meer, Cell image segmentation for diagnostic pathology, advanced algorithmic approaches to medical image segmentation: state-of-the-art applications in cardiology, neurology, mammography and pathology, Berlin: Springer, 2001, p.541.
DOI: 10.1007/978-0-85729-333-6_10
Google Scholar
[7]
C. Wahlby and E. Bengtsson, Segmentation of Cell Nuclei in Tissue by Combining Seeded Watersheds with Gradient Information, LNCS, «Image Analysis», 13 Scandinavian Conference, Halmstad, Sweeden, 2749 (2003) 408–414.
DOI: 10.1007/3-540-45103-x_55
Google Scholar
[8]
А.Е. Madonov and S.P. Belokon, Method for automatic segmentation of half- tone image using brightness histogram shape, 10. 05. 2000, Patent RF of Invention № 2148858 (С1).
Google Scholar
[9]
J. Shotton, A. Blake and R. Cipolla, Multi-scale categorical object recognition using contour fragments, IEEE Transactions on pattern analysis and machine intelligence, 30, 7 (2008) 1270-1281.
DOI: 10.1109/tpami.2007.70772
Google Scholar
