@InProceedings{FernandezLopeHira:2015:ImSeAs,
author = "Fernandez, Mariela Atausinchi and Lopes, Rubens M. and Hirata,
Nina S. T.",
affiliation = "{Institute of Mathematics and Statistics - University of S{\~a}o
Paulo} and {Oceanographic Institute - University of S{\~a}o
Paulo} and {Institute of Mathematics and Statistics - University
of S{\~a}o Paulo}",
title = "Image Segmentation Assessment from the Perspective of a Higher
Level Task",
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 = "holistic system evaluation, classification evaluation, plankton
image classification, segmentation evaluation, plankton image
segmentation.",
abstract = "Image segmentation evaluation is usually performed by visual
inspection, by comparing segmentation to a ground-truth, or by
computing an objective function value for the segmented image. All
these methods require user participation either for manual
evaluation, or to define ground-truth, or to embed desired
segmentation properties into the objective function. However,
evaluating segmentation is a hard task if none of these three
methods can be easily employed. Often, higher level tasks such as
detecting or classifying objects can be performed much more easily
than low level tasks such as delineating the contours of the
objects. This fact can be advantageously used to evaluate
algorithms for a low level task. We apply this approach to a case
study on plankton classification. Segmentation methods are
evaluated from the perspective of plankton classification
accuracy. This approach not only helps choosing a good
segmentation method but also helps detecting points where
segmentation is failing. In addition, this more holistic form of
segmentation evaluation better meets requirements of big data
analysis.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.46",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.46",
language = "en",
ibi = "8JMKD3MGPBW34M/3JMNTFS",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JMNTFS",
targetfile = "PID3769249.pdf",
urlaccessdate = "2024, Apr. 28"
}