基于Zernike矩的图像边缘轮廓提取与处理模型

Edge Contour Extraction and Process Based on Zernike Moment Summary

摘要: 亚像素算法是提高图像处理精度的算法之一。本文基于图像的亚像素处理，采用亚像素边缘轮廓提取方法——Zernike矩提取图像轮廓的边缘，并利用低通滤波优化边缘处理。同时本文采用基于Douglas-Peucker算法的多线拟合方法，计算和分析图像边缘轮廓的特征，对不同轮廓的边缘进行分割，计算各截面轮廓像素的长度和轮廓像素的总长度，通过对图像进行相机标定、图像畸变处理，计算出图像的实际标定距离，建立了基于亚像素的图像边缘轮廓提取与处理的模型。

Abstract: The subpixel algorithm is one of the methods to improve the precision of the image processing pro-gram. This paper is based on image subpixel processing, extracting the edge of the image contour by one of the subpixel edge contour extract methods called Zernike moment. A low pass filter is used to optimize edge processing. Using the multiple line fitting method based on the Douglas-Peucker algorithm, this paper calculated and analyzed the characteristics of the image edge contour, segmented the edge of different contours. Segment the edges of different contours, the length of each section contour pixel and the total length of contour pixel are calculated, and the image is calculated by camera calibration and image distortion processing. The model of image con-tour extraction and processing based on subpixel is established.