Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (10): 1380-1384.DOI: 10.12068/j.issn.1005-3026.2018.10.003

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Salient Region Extraction Algorithm for Multi-target

MENG Lu, CHEN Mei-ya   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2017-06-27 Revised:2017-06-27 Online:2018-10-15 Published:2018-09-28
  • Contact: MENG Lu
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Abstract: Combining object estimation and super-pixel segmentation, a salient region extraction algorithm for multi-target was proposed. First, object estimation was used to make a preliminary extraction of multi-target in image, and the preliminary results of several salient regions were obtained. Then, these several salient regions were concatenated with the results of super-pixel segmentation to complete the saliency extraction. Finally, the concatenated regions were binarized as the final results of salient region for multi-target. The results showed that the proposed algorithm can achieve multi-target salient region extraction. The comparison with three classical algorithms indicated that the proposed algorithm is better when it is faced with salient region extraction for multi-target.

Key words: multi-target, salient region, object estimation, super-pixel segmentation, image processing

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