• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Salient Object Detection via Adaptive Region Merging

Vol. 10, No. 9, September 29, 2016
10.3837/tiis.2016.09.020, Download Paper (Free):


Most existing salient object detection algorithms commonly employed segmentation techniques to eliminate background noise and reduce computation by treating each segment as a processing unit. However, individual small segments provide little information about global contents. Such schemes have limited capability on modeling global perceptual phenomena. In this paper, a novel salient object detection algorithm is proposed based on region merging. An adaptive-based merging scheme is developed to reassemble regions based on their color dissimilarities. The merging strategy can be described as that a region R is merged with its adjacent region Q if Q has the lowest dissimilarity with Q among all Q's adjacent regions. To guide the merging process, superpixels that located at the boundary of the image are treated as the seeds. However, it is possible for a boundary in the input image to be occupied by the foreground object. To avoid this case, we optimize the boundary influences by locating and eliminating erroneous boundaries before the region merging. We show that even though three simple region saliency measurements are adopted for each region, encouraging performance can be obtained. Experiments on four benchmark datasets including MSRA-B, SOD, SED and iCoSeg show the proposed method results in uniform object enhancement and achieve state-of-the-art performance by comparing with nine existing methods.


Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.

Cite this article

[IEEE Style]
J. Zhou, J. Zhai and Y. Ren, "Salient Object Detection via Adaptive Region Merging," KSII Transactions on Internet and Information Systems, vol. 10, no. 9, pp. 4386-4404, 2016. DOI: 10.3837/tiis.2016.09.020.

[ACM Style]
Jingbo Zhou, Jiyou Zhai, and Yongfeng Ren. 2016. Salient Object Detection via Adaptive Region Merging. KSII Transactions on Internet and Information Systems, 10, 9, (2016), 4386-4404. DOI: 10.3837/tiis.2016.09.020.

[BibTeX Style]
@article{tiis:21223, title="Salient Object Detection via Adaptive Region Merging", author="Jingbo Zhou and Jiyou Zhai and Yongfeng Ren and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2016.09.020}, volume={10}, number={9}, year="2016", month={September}, pages={4386-4404}}