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.
CITATION STYLE
Molek, V. (2018). Image contours detection with deep features and SVM. In Advances in Intelligent Systems and Computing (Vol. 642, pp. 546–553). Springer Verlag. https://doi.org/10.1007/978-3-319-66824-6_48
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