图像无级平滑缩放算法研究

在大幅面激光加工中，需要对原始图像进行缩放处理，但当图像放大时会出现马赛克的边缘效应。为解决这个问题，根据矢量在缩放过程中保持特征不变性的特点，以二值网像为例，提出一种行之有效的图像平滑无级缩放算法。该算法过程为：对原始图像进行边界提取；利用Hough变换提取边界的拐点；判别拐点间线的类型并计算控制点；对边界控制点进行缩放运算并拟合边界线；利用活性边表填充算法填充区域。利用该算法能很好地解决图像缩放所带来的边缘效应，方法简单有效，并在大幅面激光加工中取得了良好的应用。

Research of the Illimitable and Smooth Zoom of Image

During the large area image processing, when the image expands too big, the contour effect like mosaic will appear in the contour of the expanded image. To solve the problem,according to the invariance of the vector character, an effective way of the smooth and illimitable zoom of the image is brought forward as a example of binary image in this paper. First, extract the contour of the initial image. Second, according to the extracted contour ,find the corners of the contour using the Hough transform. Third, distinguish the line and curve using the corners and get the control points of the contour. After zooming in or zooming out the control points,the contour of the zoomed image is obtained using the control points. Last,fill the regions made of the contour of the zoomed image through the region-filling algorithm, Thus the smooth zoomed image and its contour are obtained, The contour effect is solved at the same time. The way is simple and effective, The way is also applied to the gray image and color image after they are segmented and form a series of regions.