摘要
CB模型是一种把图像分为色度和亮度方面的彩色模型,对图像进行分割去噪时可以很好地保留图像的细节和边缘。首先把一幅含有噪声的彩色图像分割成几何和摆动部分(纹理和噪声),然后利用CB模型分别在色度和亮度两个通道上求几何和摆动部分,再合成图像的几何和摆动部分,其中几何部分即图像去噪后的图像。实验证明CB模型可以快速准确地分割出目标,消除图像的噪声部分,是一种有效的图像分割方法。
The CB model which can hold the details of the image and keep boundary well is a chromaticity and brightness color model . In this paper,split an image into two components： a geometrical component and an oscillatory component （texture and noise ）, and then find the solutions of the two component on the chromaticity and brightness channels by CB model. After this,separately compose the value of the two components on the two channels . During the two components, the geometrical component is the denoised image. By the experiment, can conclude that the CB model is an efficient method for image segmentation and it could split the object quickly and precisely, also denoise the noise of the image.
出处
《计算机技术与发展》
2008年第5期44-46,共3页
Computer Technology and Development
基金
安徽省自然科学研究项目(2006KJ028B)
关键词
CB模型
总变分
图像分割
色度
亮度
CB model
total variation
hnage segmentation
chromaticity
brightness
