摘要
本次图像畸变研究主要针对智能玩具赛车的赛道图像。赛道图像信息由智能玩具赛车采集,采集到的图像呈现出近宽远窄的梯形畸变。针对此梯形畸变,首先采用几种不同的边缘检测算子对图像进行边缘检测及轮廓提取,再使用连接点法对处理后的图片进行畸变校正,然后针对现有方法中出现的问题提出调整改进。最后通过MATLAB仿真实验仿真分析,该方法能够有效地实现赛道的畸变校正,为后续对赛道图像的进一步处理奠定了基础。
This image distortion correction research object is mainly for the track image of the smart toy car. The track image is collected by the smart toy car. The collected image has a trapezoidal distortion. For this trapezoidal distortion,firstly,we use several different edge detection operators to perform edge detection and contour extraction on the image. Secondly,we use the connection point method to correct the distortion picture that has processed. Then the method improvements are proposed to solve the problems in the existing methods. Finally,by analyzing the MATLAB simulation results,this method can effectively realize the distortion correction of the track,which lays a foundation for the further processing of the track image.
作者
李丹美
王凯
Li Danmei;Wang Kai(College of Information Science and Technology,Donghua University,Shanghai 201620,China)
出处
《信息技术与网络安全》
2019年第3期49-52,共4页
Information Technology and Network Security
关键词
图像处理
几何畸变
轮廓提取
梯形畸变校正
image processing
geometric distortion
contour extraction
trapezoid distortion correction
