期刊
IMAGE AND VISION COMPUTING
卷 26, 期 4, 页码 496-511出版社
ELSEVIER
DOI: 10.1016/j.imavis.2007.06.009
关键词
consensus ground truth; empirical discrepancy measurement; edge detection
Two new methods are proposed to automatically generate consensus ground truth for real images: Minimean and Minimax methods. These methods and a version of the Yitzhaky and Peli method have been used to provide ground truth for the comparison of edge detection techniques. The developed experiments have revealed that the Minimean consensus method is suitable for the comparison of edge detectors because its results are equivalent to those obtained with artificial or manual ground truth. (C) 2007 Elsevier B.V. All rights reserved.
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