一种提升Canny算子的自适应边缘检测方法

Adaptive Canny Edge Detection Algorithm

基于Canny算子的图像边缘检测方法,提出了一种改进的Canny边缘检测算法。首先提出一种自适应滤波器对图像进行滤波,其次结合迭代阈值法自适应产生高低阈值,避免了人为阈值的设定,提高了算法处理速度。此方法在保持了原有Canny算子边缘检测的定位准确,单边响应和信噪比高等优点的基础上,减少了假边缘点的产生,提高了边缘检测定位精度,保证了边缘检测的可靠性和完整性。最后通过实验仿真证明了该方法的有效性。

This paper proposed an improved Canny edge detection algorithm kind of adaptive filter was proposed to tilt the image. Secondly, the iterative based on the Canny operator. Firstly, a threshold method was used to adaptive- ly produce high and low threshold value. This method avoids the artificial setting of threshold parameters and im- proves the processing speed of the algorithm. This method maintains the advantage of the accuracy of original Canny operator edge detection and high unilateral response and signal-to-noise ratio, reduces the generation of false edges, improves the positioning accuracy, and can ensure the reliability and integrity of edge detection. Finally, the simula- tion results have proved the effectiveness of the proposed method.