Journal of the Institute of Electronics and Information Engineers (전자공학회논문지)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Enhanced Object Extraction Method Based on Multi-channel Saliency Map

Saliency Map 다중 채널을 기반으로 한 개선된 객체 추출 방법

  • Received : 2015.08.20
  • Accepted : 2016.02.02
  • Published : 2016.02.25
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Abstract

Extracting focused object with saliency map is still remaining as one of the most highly tasked research area around computer vision for it is hard to estimate. Through this paper, we propose enhanced object extraction method based on multi-channel saliency map which could be done automatically without machine learning. Proposed Method shows a higher accuracy than Itti method using SLIC, Euclidean, and LBP algorithm as for object extraction. Experiments result shows that our approach is possible to be used for automatic object extraction without any previous training procedure through focusing on the main object from the image instead of estimating the whole image from background to foreground.

영상으로부터 중요 객체를 구하는 Saliency Map은 현재 영상처리 분야에서 가장 활발한 연구 분야이다. 이와 관련한 여러 연구가 진행되어가고 있으나 Saliency Map의 객체를 추출하는 것이 어려운 상황이다. 본 논문에서는 제안하는 SLIC와 색상차, 영역간 거리, texture 정보를 이용하여 객체 추출하는 방법으로 Saliency Map을 개선하고자 한다. 실험결과는 본 논문에서 제안하는 방법을 통해 영상의 모든 영역이 아닌 중앙에 있는 영역을 중점으로 주요 객체를 추출하는 결과를 보였다.

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