基于二分法的鸡蛋图像边缘快速检测方法

机器视觉技术广泛应用于鸡蛋感官品质无损检测研究中，快速得到鸡蛋图像边缘有助于高效识别鸡蛋的几何特征参数。借鉴计算机二分法快速解方程的算法，提出用二分法快速检测图像边缘，把对图像的整体研究转换到具体的行图像来研究，利用行图像信息构建了满足二分法求解条件的方程，并把对边缘的检测构造成对方程的求解问题，从而建立了二分法求解鸡蛋图像边缘的理论基础，最后在应用部分给出了详细的程序实现步骤。试验结果表明：该方法可以检测鸡蛋图像边缘，检测效率提高了约20倍，大大加快了检测速度，可为鸡蛋自动化检测提供更高的效率。

Fast method of egg image edge detecting based on dichotomy

Machine vision technology is widely used in egg non-destructive sensory quality detection. Quickly getting the image edge will help more efficiently identify the geometric characteristic parameters. Inspired by the dichotomy algorithm to rapidly solve equations, this paper proposed the same idea to rapidly detect the image edge and set up the theoretical basis for it. The image was composed by rows of pixels and each row was named Line Image. The paper used the line image information to build an equation, which would transform the problem of edge detecting into the equal problem of equation solving. Besides, the paper gave the implementation steps about how to program in application. Experimental results show that the method can detect egg image edge, and the detection efficiency had been improved about 20 times, which will provide the egg automated industry with higher speed.