最后，给出了BP神经网络和小波神经网络实现边缘检测的结果，并对两种方法

Finally, the results of neural network BP wavelet neural network and edge detection, and the two methods are compared, the experimental results show that edge detection BP neural network is better than an edge detection method based wavelet neural network, and the image the profile features using this algorithm can be more clearly distinguished. It can be used to detect the image edge.

Finally, the results of BP neural network and wavelet neural network to achieve edge detection are compared, and the experimental results show that the edge detection method based on the wavelet neural network is superior to the edge detection method of BP neural network, and the profile features of the image can use this algorithm to make the region points clearer. It can be used for edge detection of images.

Finally, the results of edge detection based on BP neural network and wavelet neural network are given, and the two methods are compared. The experimental results show that the edge detection method based on wavelet neural network is better than the edge detection method based on BP neural network, and the contour features of the image can be more clearly distinguished by using this algorithm. It can be used for image edge detection.