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基于OpencCV中Mean Shift的图像卡通化处理 被引量:1

Cartoon Image Processing Based on Openccv Mean Shift
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摘要 本文将数字图像卡通化分为4个步骤:第一步使用mean shift均值漂移进行彩色图像分割,得到色彩平滑区域明显的图像;第二步使用Canny算子提取边界特征,使用Canny算子得到清晰完整的边界特征;第三步将前两步得到的图像进行合成;第四步使用线性变换进行对比度调整,获得颜色鲜明的图像。实验结果比较理想,但是过程耗时比较长,不具有实时性。 This paper divides digital image cartoon into four steps:the first step uses mean In the second step,Canny operator is used to extract boundary features,and Canny operator is used to obtain clear and complete boundary features;the third step is to synthesize the images obtained in the first two steps;and the fourth step is to use linear transformation to adjust the contrast to obtain bright color images.The experimental results are ideal,but the process is time-consuming and not real-time.
作者 刘侠 Liu Xia(Jiangxi University of Software Professional Technology,Nanchang Jiangxi 330041,China)
出处 《信息与电脑》 2020年第20期54-57,共4页 Information & Computer
关键词 Mean shift 图像分割 边界提取 对比度 Mean shift image segmentation boundary extraction contrast
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