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JEI
2007

New benchmark for image segmentation evaluation

11 years 1 months ago
New benchmark for image segmentation evaluation
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundamental conflict between generality and objectivity: For general-purpose segmentation, the ground truth and segmentation accuracy may not be well defined, while embedding the evaluation in a specific application, the evaluation results may not be extensible to other applications. We present a new benchmark to evaluate five different image segmentation methods according to their capability to separate a perceptually salient structure from the background with a relatively small number of segments. This way, we not only find a large variety of images that satisfy the requirement of good generality, but also construct ground-truth segmentations to achieve good objectivity. We also present a special strategy to address two important issues underlying this benchmark: (1) most image-segmentation methods are not de...
Feng Ge, Song Wang, Tiecheng Liu
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2007
Where JEI
Authors Feng Ge, Song Wang, Tiecheng Liu
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