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基于形态学变换和FFCM聚类的灰度图像颜色迁移算法

贺栋 杨风暴 蔺素珍 周萧

贺栋, 杨风暴, 蔺素珍, 周萧. 基于形态学变换和FFCM聚类的灰度图像颜色迁移算法[J]. 应用光学, 2012, 33(2): 300-304.
引用本文: 贺栋, 杨风暴, 蔺素珍, 周萧. 基于形态学变换和FFCM聚类的灰度图像颜色迁移算法[J]. 应用光学, 2012, 33(2): 300-304.
HE Dong, YANG Feng-bao, LIN Su-zhen, ZHOU Xiao. Colour transfer for grayscale images based on morphology transformation and FFCM cluster[J]. Journal of Applied Optics, 2012, 33(2): 300-304.
Citation: HE Dong, YANG Feng-bao, LIN Su-zhen, ZHOU Xiao. Colour transfer for grayscale images based on morphology transformation and FFCM cluster[J]. Journal of Applied Optics, 2012, 33(2): 300-304.

基于形态学变换和FFCM聚类的灰度图像颜色迁移算法

详细信息
    通讯作者:

    贺栋(1987-),男,山西运城人,硕士研究生,主要从事信号的获取和处理及图像处理。

  • 中图分类号: TN911.73

Colour transfer for grayscale images based on morphology transformation and FFCM cluster

  • 摘要: 针对传统颜色迁移算法计算量大、对图像无法准确进行颜色迁移的问题,提出一种基于形态学变换和快速模糊C均值聚类(FFCM)的灰度图像颜色迁移算法。首先对目标图像进行腐蚀膨胀运算,消除亮度不均匀的区域,通过FFCM聚类算法对目标图像进行准确聚类,然后在目标图像与源图像中选取对应样本块,完成样本块的颜色迁移,并以已上色的样本块为参考,完成图像的全局颜色迁移。实验结果表明:与Welsh和FCM算法相比较,本文算法处理时间分别缩短64.29 %和54.25 %,结果图像在类间交界处的颜色过渡更加自然,证明了算法的有效性。
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  • 刊出日期:  2012-03-15

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