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2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1
A Confidence Measure for Boundary Detection and Object Selection
Kauai, Hawaii
December 08-December 14
ISBN: 0-7695-1272-0
ASCII Text
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Eric N. Mortensen, William A. Barrett, "A Confidence Measure for Boundary Detection and Object Selection," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 1, pp. 477, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001.
 
 
BibTex
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@article{ 10.1109/CVPR.2001.990513,
author = {Eric N. Mortensen and William A. Barrett},
title = {A Confidence Measure for Boundary Detection and Object Selection},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {1},
year = {2001},
issn = {1063-6919},
pages = {477},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2001.990513},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - A Confidence Measure for Boundary Detection and Object Selection
SN - 1063-6919
SP
EP
A1 - Eric N. Mortensen,
A1 - William A. Barrett,
PY - 2001
KW - null
VL - 1
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Eric N. Mortensen, Brigham Young University; Oregon State University
William A. Barrett, Brigham Young University
We introduce a confidence measure that estimates the assurance that a graph arc (or edge) corresponds to an object boundary in an image. A weighted, planar graph is imposed onto the watershed lines of a gradient magnitude image and the confidence measure is a function of the cost of fixed-length paths emanating from and extending to each end of a graph arc. The confidence measure is applied to automate the detection of object boundaries and thereby reduces (often greatly) the time and effort required for object boundary definition within a user-guided image segmentation environment.
Citation:
Eric N. Mortensen, William A. Barrett, "A Confidence Measure for Boundary Detection and Object Selection," cvpr, vol. 1, pp.477, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001
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