Patent ID: 11887279
Assignee: SHARIF UNIVERSITY OF TECHNOLOGY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. The method of claim 4, wherein applying the FCN on the image comprises:
feeding the image to a first convolutional layer of the plurality of convolutional layers;
extracting an (L+1)th plurality of feature maps from the output of the Lth convolutional layer by obtaining an (l+1)th plurality of feature maps, comprising:
generating an (l+1)th plurality of filtered feature maps by applying the lth plurality of filters on an lth plurality of feature maps, a first plurality of feature maps comprising a plurality of channels of the image;
generating an (l+1)th plurality of normalized feature maps by applying the batch normalization process on the (l+1)th plurality of filtered feature maps, each normalized feature map of the (l+1)th plurality of normalized feature maps associated with a respective filtered feature map of the (l+1)th plurality of filtered feature maps; and
generating the (l+1)th plurality of feature maps by implementing the lth non-linear activation function on each of the (l+1)th plurality of normalized feature maps; and

applying the sigmoid function on each of the (L+1)th plurality of feature maps.