基于视觉传达要素的电视画面优化设计方法研究

Research on TV Picture Optimization Design Method based on Visual Communication Elements

本文通过将直方图凹度分析与视觉传单效果充分结合的方式,并采取灰度Canny边缘检测方法将开关型中值滤波器安装在高斯滤波之前,通过改进的Canny边缘检测方法将脉冲噪声滤除,利用直方图凹度对自动选取双闭值进行分析,实验证明,本研究研究制定的边缘检测新方法实现了较好保留图像边缘细节信息的目的,对噪声进行良好的抑制,对比不同类型边缘检测方法的异同,最终发现该方法更具有优势。对于高斯噪声来说,改进的算法能较好的将电视图像的边缘信息检测出,边缘定位精度要比LOG算子、传统Canny边缘检测方法优异。

In this paper,a gray Canny edge detection metliod based on the histogram concavity analysis is proposed.Before Gauss filtering,a switched median filter is used to filter the pulse noise by an improved Canny edge detection method,and the double closed value is automatically selected by the histogram concavity.It is proved that the newmethod of edge detection proposed in this study can preserve the image edge details well,and can suppress the noise well.The edge detection effect is better than the other two other edge detection methods.In the case of Gauss noise,the improved algorithm can detect the edge information of the TVimage better,and the precision of the edge location is better than the LOG operator and the traditional Canny edge detection method.