Canny算法的改进及其硬件的实现

传统的Canny边缘检测算法是先对图像进行平滑,然后利用二维滤波器计算图像的梯度值,从而得到梯度直方图。通过基于梯度直方图来选取双阈值,最后进行基于双阈值的非极大值抑制,得到边缘检测的图像。为了能很方便地在硬件中实现这种算法,对传统的Canny算法进行了适当的改进,利用模板来代替原算法中的卷积,从而使得该算法在FPGA(Field Programmable Gate Array)中可以完全利用原理图来实现。

Improvement of Canny algorithm and implementation in hardware

In the traditional Canny algorithm,the image is smoothed at first,and then the gradient is calculated by the planar filter.Based on the gradient histogram,the double thresholds can be found.At last,non-maximum suppression based on double thresholds is used to detect the edge.It is improved properly so that it can be implemented in hardware.Template in the improved algorithm is used in stead of convolution in the traditional algorithm,in order that it can be implemented in field programmable gate array(FPGA) by logic diagram totally.