基于仿射变换的飞机图像的识别

Aircraft Image Recognition Based on Affine Transformation

先基于细胞神经网络提取飞机图像轮廓 ,再用基于仿射变换方法对多种飞机的轮廓图像做不变特征的提取 ,把多种飞机的不变特征放在数据库中。进行飞机类型识别时先计算实时图像中飞机 (目标 )的不变特征 ,然后与数据库中的每个不变特征做相关运算 。

In the image recognition there are scale transform, rotation transform and translation transform, so looking for the features to be invariant to all these transforms becomes very important. In this paper, the method of affine transform is used to extract the invariant features of the image contour of several types of airplanes. The image contours of several airplanes are acquired by using cellular neural networks. And the invariant features of airplane contours are stored in a database. During the recognition of an airplane type, the first step is to calculate the invariant features of the real-time acquired image contour of the airplane. The second step is to calculate the correlation coefficient between the real-time acquired image contour invariant features of the target airplane and that of every airplane image stored in the database previously. The maximum correlation coefficient indicates the type of the airplane to be recognized.