计算机工程 ›› 2010, Vol. 36 ›› Issue (16): 195-197.doi: 10.3969/j.issn.1000-3428.2010.16.070

• 图形图像处理 • 上一篇    下一篇

基于感兴趣区域的图像非真实感绘制算法

程琳琳,陈昭炯   

  1. (福州大学数学与计算机科学学院,福州 350108)
  • 出版日期:2010-08-20 发布日期:2010-08-17
  • 作者简介:程琳琳(1985-),女,硕士研究生,主研方向:图像处理;陈昭炯,教授
  • 基金项目:
    国家自然科学基金资助项目(60805042);福建省自然科学基金资助项目(A0710006)

Image Non-Photorealistic Rendering Algorithm Based on Regions of Interest

CHENG Lin-lin, CHEN Zhao-jiong   

  1. (College of Mathematics and Computer Science, Fuzhou University, Fuzhou 350108)
  • Online:2010-08-20 Published:2010-08-17

摘要: 针对图像非真实感绘制(NPR)算法和感兴趣区域(ROI)提取算法的不足,提出一种基于ROI的图像NPR算法。该算法利用Mean-Shift算法实现图像的NPR效果,结合图像的ROI解决传统算法时间效率不高的问题,应用色彩传递的方法对图像自动进行色彩添加和变更,以改善视觉效果。实验结果表明,该算法具有良好的艺术效果,能有效提高算法效率。

关键词: 感兴趣区域, 非真实感绘制, Mean-Shift算法, 分水岭变换, 色彩传递

Abstract: Aiming at the shortcomings of image Non-Photorealistic Rendering(NPR) algorithms and Regions of Interest(ROI) extraction algorithms, this paper proposes a NPR algorithm based on ROI. It uses Mean-Shift algorithm to implement NPR effect, combines ROI of image to solve the problem of low-efficiency of existing algorithms, and uses the method of color transfer to reach a better visual effect. Experimental results show that the algorithm gains good art effect, and improves the efficiency.

Key words: Regions of Interest(ROI), Non-Photorealistic Rendering(NPR), Mean-Shift algorithm, watershed transform, color transfer

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