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Obtaining Object by Using Optimal Threshold for Saliency Map Thresholding

Saliency Map을 이용한 최적 임계값 기반의 객체 추출

  • ;
  • 김도연 (전남대학교 전자컴퓨터공학과) ;
  • 박혁로 (전남대학교 전자컴퓨터공학과)
  • Received : 2011.03.02
  • Accepted : 2011.04.15
  • Published : 2011.06.28

Abstract

Salient object attracts more and more attention from researchers due to its important role in many fields of multimedia processing like tracking, segmentation, adaptive compression, and content-base image retrieval. Usually, a saliency map is binarized into black and white map, which is considered as the binary mask of the salient object in the image. Still, the threshold is heuristically chosen or parametrically controlled. This paper suggests using the global optimal threshold to perform saliency map thresholding. This work also considers the usage of multi-level optimal thresholds and the local adaptive thresholds in the experiments. These experimental results show that using global optimal threshold method is better than parametric controlled or local adaptive threshold method.

Keywords

Saliency Map;Otsu Thresholding;Multi-level Otsu Thresholding

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