Evaluation of Segmentation Quality
via Adaptive Composition of Reference Segmentations
Bo Peng, Lei Zhang,
Xuanqin Mou and Ming-Hsuan Yang
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Motivation and Framework Human visual system is highly adapted to extract structural information from natural scenes, and a perceptually meaningful measure should be error-sensitive to the structures in the segmentations. We propose that the evaluation of a segmentation should rely more on the local structures rather than on the global view. We assume that if a segmentation is "good", it can be composed by pieces of the ground truths. The composite reference segmentation
image should locally match the input segmentation as much as possible. For an
input segmentation, a composite reference segmentation image is adaptively
constructed from the ground truths in the database, and then the quality
score of the segmentation is calculated by matching the input segmentation
with the composite reference segmentation image (see figure below).
Proposed evaluation framework based on adaptive composition of reference segmentation images. |
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