SVM; features extraction; deep learning; convolutional neural network; image contours detection; classification;

This contribution introduces the image contours detection based on the features extracted by a deep convolutional neural network. Popular pre-trained network VGG19 was used to extract 5504 different features for each input image pixel and then classified by a neural network with SVM classifier.