线性回归与Hough变换在计算图像倾斜角度中的应用

Application of linear regression and Hough transform in calculating declining angle of image

对矩形图像识别之前,通常需要对其进行倾斜角度的矫正,本文给出了矫正的两种方法:线性回归法和Hough变换法,并详细介绍了这两种方法的原理、算法步骤、实现过程、仿真结果及各自的优缺点,并将其用于工程实践中,取得了很好的效果.

Before rectangle image is recognized,we usually have to rectify the declining angle of the image.In this paper,two methods are given,which are linear regression method and Hough transform method.The paper will introduce their principles,algorithm,realization process,simulaiton results,advantages and disadvantages.The two methods have been used in engineering practice,they both have good effects.