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1. 北京交通大学计算机与信息技术学院,北京,100044
2. 北京联合大学信息技术研究所,北京,100101
3. 北京交通大学计算机与信息技术学院北京,100044
4. 北京联合大学信息技术研究所北京,100101
Published:2008
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YUAN Jia-zheng, XU De, WANG Yu-jian, et al. An Effective Method for SVG-Based Rendering of Real Images[J]. Acta Electronica Sinica, 2008, 36(1): 188-193.
提出了一种基于网络矢量图形SVG 展示光栅图像的方法(简称为SRRI).首先研究了光栅图像和SVG图形的结构组成
同时依据局部特征(灰度、颜色或者梯度等)相似性将图像分割成若干个互不相交的区域;然后提取每个区域的边缘
并对边缘进行合并、压缩;最后使用SVG 代码描述分割后的区域边缘形状和颜色特征
并依据区域同质特征将SVG代码进行合并和压缩.通过数字文物图像集和标准图像数据集进行实验
表明SRRI方法对于粗纹理图像和相似图案较多的文物数字图像
其存储容量小
展示效果好.
A novel method to convert raster images in a scalable vector graphic(SVG)format using similar features of pixel is presented(call SRRI).SRRI starts image segmentation for raster images with similar features;the edges of image segmentation are obtained and there are rendered by SVG with polygon or Bezier curve.Then the obtained SVG graphics with different region edges for similar features of pixel are merged if the converted SVG is very large size.Experimental results prove the SVG rendering effectiveness of SRRI method and goods performance for converting raster images.The SVG rendering approach is very useful for huge size images and thick texture culture relic images of digital museum.
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