文献类型：期刊文献

中文题名：图像处理中曲线矢量化的最优化算法

英文题名：Optimized Algorithm of Vectorized Curve in Image Process

作者：展益彬[1];林大钧[1];安琦[1]

机构：[1]华东理工大学机械与动力工程学院,上海200237

年份：2008

卷号：34

期号：3

起止页码：282

中文期刊名：东华大学学报（自然科学版）

外文期刊名：Journal of Donghua University(Natural Science)

收录：CSTPCD;;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：上海市重点学科建设项目资助(B503)

语种：中文

中文关键词：二值图像;矢量化;像素点;最优化;三维设计

外文关键词：binary image; vectorization; pixel point ; optimization; 3-D design

摘要：二值图像由于像素取值简单、便于操作,因而在Matlab中,可以很容易地从图像中识别出对象.在影像反求设计中,将图像滤波、增强、去噪后二值化,提取出图像的轮廓,将最优化算法用于对所得到的像素点进行拟合,设计矢量化的目标函数,求出最优化解,即图像的最优矢量化.根据矢量化提取的图像三维信息,可以进行三维设计与重建.
The binary image can be operated conveniently, and the value of pixel in it is very simple. The object contained in the binary image can be easily recognized by Matlab. The engineering graphics can be converted to the binary image after the process of filter, enhancement and noise-cancellation. Then, the contour of the object can be extracted. The optimized algorithm can be applied to fit the points of the contour curves. The target function of vectorization is designed, its solution is optimal vectorization of image. According to this information of points and curves, 3-D model of the target object in the image can be reconstructed.