KONDRATĚV, Alexandr a Dmitry SOROKIN. Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints. In 23rd International Conference on Pattern Recognition, ICPR 2016. Cancun, Mexico: Institute of Electrical and Electronics Engineers Inc., 2017, s. 331-336. ISBN 978-1-5090-4847-2. Dostupné z: https://dx.doi.org/10.1109/ICPR.2016.7899655.
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Základní údaje
Originální název Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints
Autoři KONDRATĚV, Alexandr (643 Rusko) a Dmitry SOROKIN (643 Rusko, domácí).
Vydání Cancun, Mexico, 23rd International Conference on Pattern Recognition, ICPR 2016, od s. 331-336, 6 s. 2017.
Nakladatel Institute of Electrical and Electronics Engineers Inc.
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Stát vydavatele Švýcarsko
Utajení není předmětem státního či obchodního tajemství
Forma vydání tištěná verze "print"
Kód RIV RIV/00216224:14330/17:00100647
Organizační jednotka Fakulta informatiky
ISBN 978-1-5090-4847-2
ISSN 1051-4651
Doi http://dx.doi.org/10.1109/ICPR.2016.7899655
UT WoS 000406771300058
Klíčová slova anglicky Argon lasers; Cells; Cytology; Fluorescence; Geometry; Image registration; Image segmentation; Matrix algebra
Štítky core_B, firank_A
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: RNDr. Pavel Šmerk, Ph.D., učo 3880. Změněno: 5. 11. 2021 15:36.
Anotace
The existence of reliable evaluation datasets for cell image registration algorithms is crucial for quantitative comparison of registration approaches. A new technique for creating real live cell image sequences for this purpose was introduced recently. These datasets contain stable structures bleached by argon laser in the cell nucleus. In this work, we propose an approach for automatic detection of laser-induced linear structures in live cell fluorescent microscopy images. Compared to a previous linear laser-induced structure detection approach, our method employs an active contours model with a Hessian-based image energy term for linear structures enhancement and geometric energy term controlling the geometric relations between the structures. It uses position adaptive tension parameter values to adjust the snakes behavior in problematic regions (end points and intersection points) and a temporal consistent scheme where the results from the previous frame are used as an initial approximation for the current frame. Our approach was successfully applied to real live cell microscopy image sequences and an experimental comparison with an existing laser-induced structures detection method based on minimal paths has been performed.
VytisknoutZobrazeno: 19. 9. 2024 01:29