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计算机工程

• 图形图像处理 • 上一篇    下一篇

主体对象可控的渐进式色彩传递

许文韬,陈昭炯   

  1. (福州大学 数学与计算机科学学院,福州 350108)
  • 收稿日期:2015-06-25 出版日期:2016-09-15 发布日期:2016-09-15
  • 作者简介:许文韬(1990-),男,硕士研究生,主研方向为智能图像处理;陈昭炯,教授。
  • 基金资助:
    国家自然科学基金资助项目(61473089)。

Principal Object Controllable Progressive Color Transfer

XU Wentao,CHEN Zhaojiong   

  1. (College of Mathematics and Computer Science,Fuzhou University,Fuzhou 350108,China)
  • Received:2015-06-25 Online:2016-09-15 Published:2016-09-15

摘要: 针对基于点匹配的色彩传递方法中主体对象色彩可能被误传的问题,提出一种主体对象可控的色彩传递算法。运用图像分割技术构建主体对象的掩膜,将主体与背景分离,同时对源图和目标图的直方图进行形状分析,由前向差分计算直方图的零点,结合二阶导数确定直方图波峰和波谷的结构,通过逐渐匹配对象直方图的波峰,达到控制主体色彩渐进传递的目的。实验结果表明,该算法对主体对象色彩的控制效果较好,且不需要过多人工干预。

关键词: 色彩传递, 主体对象可控, 图像分割, 渐进式, 直方图匹配

Abstract: Aiming at the problem that the wlor of principal object may be transfered improperly in the point matching-based color transfer method,a color transfer algorithm with controllable principal object is proposed.The algorithm separates the principal objects from the background by building a mask of principal objects via image segmentation and carries out shape analysis on histograms of both source and target images,figures out zeros of histograms using forward differential computation,identifies the structure of peaks and valleys of both histograms by taking into account the information of second order derivatives,and completes the progressive color transfer of the principal objects through gradual histogram peak matching.Experimental results show that the algorithm has better control effect for principal object color transfer without much manual intervention.

Key words: color transfer, principal object controllable, image segmentation, progressive, histogram matching

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