The present invention relates to a method and apparatus for recognizing an image comprising a surrounding environment. Said method at least comprises the following steps: extracting an image matrix on the basis of a convolution layer; performing edge removal processing on the image matrix for at least once; performing, for at least once, residual processing without edge removal on the image matrix subjected to edge removal processing; and outputting recognized image data on the basis of a fully connected layer. An edge removal module comprises a basic edge removal module and a bottleneck edge removal module. An edge removal method of the basic edge removal module comprises: G(x) = conv_2σ (conv_1(x)) + r(x), conv_1(x) and conv_2(x) representing performing convolution transformation without padding on the image matrix x; σ(x) representing performing non-linear transformation on the image matrix x; and r(x) representing performing edge removal on the image matrix x. A neuron network is established by means of the edge removal module, thereby being able to better recognize an image comprising a surrounding environment, and reduce the amount of computation.
METHOD AND APPARATUS FOR RECOGNIZING IMAGE COMPRISING SURROUNDING ENVIRONMENT