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基于亮度分区的显微镜灰度图像彩色化算法的研究
Research on Colorizing Algorithm of Microscope Grayscale Images Based on Brightness Partition
【摘要】 电子显微镜下细胞成像为灰度图像,不便于观察和研究,由此提出一种电子显微镜下灰度图像的彩色化算法。对彩色和灰度图像的亮度直方图分别进行高次B样条最小二乘曲线拟合,对拟合的曲线分别求取极值点,通过自动地将彩色图像和灰度图像的极值点的个数调整一致,以此作为图像的分区,利用带有权重的颜色迁移算法进行分区映射实现灰度图像的彩色化。实验结果证明,此方法取得了较好的色彩效果。
【Abstract】 Cell image is grayscale images under the microscope,so it is not easy to observe and research it.Thus,this paper offers an algorithm to colorize the grayscale image under the electron microscope.This paper adopts B-spline least squares curve fitting for the luminance histogram of the color image and grayscale image respectively,then finds the extreme point of the curve fitted and adjusts the number of the extreme points to be equal which are used as the partition of the images.Color transfer algorithm with weight is applied for partition mapping so as to achieve colorization of grayscale images.The experimental results show this approach can gain good color effects.
【Key words】 image histogram; the B-spline least squares curve fitting; extreme value adjustment; color transfer with weight;
- 【文献出处】 浙江理工大学学报 ,Journal of Zhejiang Sci-Tech University , 编辑部邮箱 ,2014年03期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】66