基于DCT的Sobel算子的图像边缘检测优化算法

Sobel Operator Edge Detection Optimization Algorithm Based on DCT

针对Sobel算子会检测出很多的伪边缘,边缘定位精度不够高等问题,提出一种基于DCT的Sobel算子的图像边缘检测优化算法.该算法首先将图像转换成灰度图像,然后做二维DCT变换,获取其低频DCT信息,然后将低频信息与原始图像对比获取其灰度图像信息,接着经过Sobel算子运算,与直接经过Sobel算子运算后的图像进行对比叠加,最终得到图像边缘信息.该方法能更准确地定位出图像边缘,弥补了Sobel的不足.

A Sobel operator edge detection optimization algorithm based on DCT is proposed, for a lot of pseudo-edge are detected and the position of edge is not enough accuracy after Sobel operating. In the algorithm, the image is converted to gray scale image, and transformed by two-dimensional DCT to get its low-frequency DCT information. The gray scale image is obtained after comparing the low-frequency information and the original image, then the gray scale is operated through Sobel algorithm and compared with the original image operated by Sobel to obtain the edge information. The method can more accurately detect the position of edge than Sobel.