节点文献
图像处理中曲线矢量化的最优化算法
Optimized Algorithm of Vectorized Curve in Image Process
【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.
【Abstract】 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.
【Key words】 binary image; vectorization; pixel point; optimization; 3-D design;
- 【文献出处】 东华大学学报(自然科学版) ,Journal of Donghua University(Natural Science) , 编辑部邮箱 ,2008年03期
- 【分类号】TP391.41
- 【被引频次】6
- 【下载频次】474