@InProceedings{BorgesHamSilVieOli:2015:HiAcLe,
author = "Borges, Vinicius Ruela Pereira and Hamman, Bernd and Silva, Thais
Garcia and Vieira, Armando Augusto Henriques and Oliveira, Maria
Cristina Ferreira de",
affiliation = "{University of Sao Paulo} and University of California, Davis and
{Federal University of Sao Carlos} and {Federal University of Sao
Carlos} and {University of Sao Paulo}",
title = "A Highly Accurate Level Set Approach for Segmenting Green
Microalgae Images",
booktitle = "Proceedings...",
year = "2015",
editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim,
Ricardo Guerra and Farrell, Ryan",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "edge detection, Gaussian distribution, green microalgae, image
segmentation, level set.",
abstract = "We present a method for segmenting 2D microscopy images of
freshwater green microalgae. Our approach is based on a
specialized level set method, leading to efficient and highly
accurate algae segmentation. The level set formulation of our
problem allows us to generate an algae's boundary curve as the
result of an evolving level curve, based on computed background
and algae regions in a given image. By characterizing the
distributions of image intensity values in local regions, we are
able to automatically classify image regions into background and
algae regions. We present results obtained with our method. These
results are very promising as they document that we can achieve
highly accurate algae segmentations when comparing ours against
manually segmented images (segmented by an expert biologist) and
with results derived by other approaches covered in the
literature.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.33",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.33",
language = "en",
ibi = "8JMKD3MGPBW34M/3JNJ57B",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JNJ57B",
targetfile = "PID3769253.pdf",
urlaccessdate = "2024, Apr. 28"
}