基于感兴趣区域的图像非真实感绘制算法

Image Non-Photorealistic Rendering Algorithm Based on Regions of Interest

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。

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.