色顕著性に基づくインタラクティブ画像セグメンテーション

書誌事項

タイトル別名
  • Interactive Segmentation for Color Image based on Color Saliency
  • イロ ケンチョセイ ニ モトズク インタラクティブ ガゾウ セグメンテーション

この論文をさがす

抄録

Efficient interactive foreground extraction from color images is of great practical importance in computer vision. In recent yaers, an approach, based on optimization using graph-cuts has been widely used. However, an interactive foreground extraction approach, which is intuitive and efficient for users, is required for practical applications. In this paper, we propose a novel interactive foreground extraction method based on color saliency. In our method, the user provides only some foreground pixels as the initial reference. To achieve extraction of multi target objects, likelihoods of the foreground and background are defined by a gaussian mixture model and a color saliency map based on the provided reference pixels. These likelihoods are added to the cost of the proposed graph. Finally, image segmentation is performed by optimizing the proposed graph using the graph-cut algorithm.

収録刊行物

参考文献 (14)*注記

もっと見る

関連プロジェクト

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ