Region Based Exemplar References for Image Segmentation Evaluation

Abstract

Quantitative evaluation of image segmentation quality is usually based on comparing a segmentation with multiple reference segmentations. Instead of holistically comparing with each reference, we propose a region based evaluation framework, where an exemplar reference is adaptively constructed and applied to a generally defined evaluation measure. As examples, we implement three well-known evaluation measures and present an efficient scheme to compute each measure. Extensive experiments on the benchmark databases show that the proposed evaluation framework can improve the evaluation precision of existing measures.