基于BP神经网络的彩色图像边缘检测方法研究

Edge detection of color image based on BP neural networks

本文主要研究了基于动量梯度下降算法的BP神经网络在彩色图像边缘检测中的应用,减少了样本训练的迭代次数,缩短了样本训练时间。同时开发了相应图形用户界面(GUI),实现了将本文的算法与传统边缘检测算法的检测效果对比,显示不同算法的图像边缘检测效果,以及保存处理完成的图片等功能。

This article mainly studied to use BP neural network to detect the edge of a color image. Using improved learning algorithm to train the network, making samples decreased frequency of training and quickly completed the training steps. This article develop the corresponding graphical user interface（GUI）. It can compare this edge detection algorithm and the conventional detection algorithm, show the results of different edge detection algorithm and preserve processed pictures