Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
529980 | Journal of Visual Communication and Image Representation | 2012 | 11 Pages |
Evaluation techniques play an important role while picking a suitable segmentation scheme out of a number of alternatives. In this paper, a novel supervised segmentation evaluation scheme is proposed that is designed by combining segment area and boundary information. Using the evaluation metric, a ranking of the popular segmentation algorithms is carried out. A comparative analysis with existing supervised metrics that are commonly used for grading segmentation schemes is performed. Experimental results indicate that the performance of the proposed measure is promising.
► Better objective measure for quality evaluation of image segmentation schemes. ► Both boundary and region area play important roles in computation of the measure. ► There exists correlation between subjective and the suggested objective evaluation.