利用侧抑制神经网络的边界识别

Edge Detection Using Lateral Inhibition Neural Network

讨论利用侧抑制神经网络边界识别的方法。通过对两种类似的一维输入模型矩形和马赫带探讨,阐明侧抑制神经网络能够识别到输入模型的界线。更一般的讨论是将该方法推广到二维空间的情况。最终,全部模型都已经在多目的神经网络环境中模拟,并已经在PC上实现。

The paper proposes a method for edge detection based upon a lateral inhibition neural network. Two types of onedimensional input patterns, a bar and Mach bands are studied. The model is then generalized to two dimensions to show how to extract the boundary of a twodimensional object. Finally. All the models have been developed in a multipurpose neural network environment and simulated on a PC.