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  [in Japanese] Interactive Segmentation for Color Image based on Color Saliency  [in Japanese]

Access this Article

Search this Article

Author(s)

Abstract

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.

Journal

  • IEEJ Transactions on Electronics, Information and Systems

    IEEJ Transactions on Electronics, Information and Systems 133(6), 1211-1217, 2013-06-01

    The Institute of Electrical Engineers of Japan

References:  13

Codes

  • NII Article ID (NAID)
    10031175305
  • NII NACSIS-CAT ID (NCID)
    AN10065950
  • Text Lang
    JPN
  • Article Type
    ART
  • ISSN
    03854221
  • NDL Article ID
    024700131
  • NDL Call No.
    Z16-795
  • Data Source
    CJP  NDL  J-STAGE 
Page Top