Evaluation of image segmentation algorithms from the perspective of salient region detection

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Abstract

The present paper addresses the problem of image segmentation evaluation by comparing seven different approaches. We are presenting a new method of salient object detection with very good results relative to other already known object detection methods. We developed a simple evaluation framework in order to compare the results of our method with other segmentation methods. The results of our experimental work offer good perspectives for our algorithm, in terms of efficiency and precision. © 2011 Springer-Verlag.

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Popescu, B., Iancu, A., Dan Burdescu, D., Brezovan, M., & Ganea, E. (2011). Evaluation of image segmentation algorithms from the perspective of salient region detection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6915 LNCS, pp. 183–194). https://doi.org/10.1007/978-3-642-23687-7_17

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