摘要
结合数码相机图像采集特性和人眼视觉误差,讨论了彩色图像预处理过程。通过分析彩色图像的数据格式,将八叉树量化方法用于彩色图像的颜色信息量化,并采用矢量中值滤波消除彩色图像噪声,以实现对彩色图像的合理预处理。结合实验讨论分析了矢量中值滤波法的滤波器窗口参数,并结合颜色信息相似度理论提出了彩色图像预处理效果的评价方法。实验获得了合理的颜色量化方法和滤波器窗口参数,处理得到的图像最大色差变化控制在3个CIELAB色差单位。结果表明,用八叉树结构量化和矢量中值滤波对数码相机采集到的彩色图像进行预处理可达到较理想的效果。
To realize color image segmentation, target identification, feature extraction, and other im age processing projects, the image preprocessing methods are researched. Based on analysing characteristic of digital camera and human visual error and understanding data formats of color image,an octree arithmetic is applied to color quantization and a vector median filter is used to eliminate noise to realize preprocessing for color images. In combination with a experiment, this paper discusses and analyzes window parameters of vector median filter, and presents an effective evaluation methods by corn bining color information similarity theory. Finally,a reasonable color quantization method and window parameters are obtained for digital camera, and the chromatism can be controlled within 3 units. Experimental results show that octree color quantization and vector median filter can perform well in preprocessing of color image for digital camera
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2009年第1期207-212,共6页
Optics and Precision Engineering
基金
国家自然科学基金资助项目(No.50875185)
高等学校博士点基金资助项目(No.20070056117)
关键词
数码相机
图像预处理
色彩量化
八叉树
矢量中值滤波
digital camera
image preprocessing
color quantization
octree
vector median filter
