基于直方图均衡变换的彩色YUV图像边缘检测方法

Color YUV Image Edge Detection Method based on Histogram Equalization Transformation

本文对基于改进的YUV颜色空间的边缘检测算法进行了研究。结果表明,对不同颜色空间的优缺点、特征性进行对比,从而提出了以YUV颜色空间为基础的改进算法,对其边缘检测算法的基本原理进行了详细的分析阐述。结合多元化仿真实验手段的相互比对,最终确定试验结果的优劣性,再结合理论分析和实验效果图,最终确定基于增大YUV颜色空间中Y、U、V分量的差异,并针对其中存在的问题提出可行性的边缘信息有效方案。本文通过改进后提出了更为简单的方案,同时具有高效性优势。

In this paper,an edge detection algorithm based on improved YUV color space is studied. The results show that by comparing the characteristics and advantages and disadvantages of each color space,an improved algorithm based on YUV color space is proposed,and the principle of edge detection algorithm based on YUV color space is elaborated in detail. By comparing the simulation experiments of various methods,the advantages and disadvantages of the experimental results are analyzed. Through the experimental results and theoretical analysis,the improved algorithm based on the difference of the Y,U and V components in the YUV color space can be obtained to detect the validity of the more reasonable edge information. The computational process of the improved algorithm is simple and easy to be realized. By comparing with the calculation time of other methods,it shows that the method has a certain improvement in efficiency.