基于PCNN的特征提取,PCNN用于特征提取时，具体平移、旋转、尺度、扭曲等不变性，这正是许多年来基于内容的图像检索系统追求的目标，同时PCNN用于特征提取时，有很好的抗噪性。而且PCNN直接来自于哺乳动物视觉皮层神经的研究，具有提取图像形状，纹理，边缘的属性。用PCNN能很好地对图像进行签名，将二维的图像的特征提取成一维矢量签名。-Feature extraction of specified object is an

important preprocessing stage in machine vision

systems. In this paper, we present a novel hybrid

feature extraction method using PCNN (Pulse Coupled

Neural Network) and shape information. First, we use

PCNN firing map train to formulate object’s time

signature, then we use roundness of each firing map to

formulate object’s shape information vector, the final

feature matrix we got is combined time signature and

roundness. We take correlations as our judge criteria

in our experiments. It has been proved that the

algorithm is not sensitivity with the rotation, scaling

and translation of the object and is a useful method for

target recognition applications.