Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The labels contain information whenever a pixel is or is not an edge.
- 2.
The output of the convolutional layer.
- 3.
The softmax outputs probabilities for pixel being edge and non edge pixel in one-hot codding, i.e. (1.0, 0.0) for pixel being edge pixel and (0.0, 1.0) for not being edge pixel.
References
Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898–916 (2011)
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679–698 (1986)
Chang, M.: Applied deep learning 11/03 convolutional neural networks. https://www.slideshare.net/ckmarkohchang/applied-deep-learning-1103-convolutional-neural-networks. Accessed 27 May 2017
Hwang, J.-J., Liu, T.-L.: Contour detection using cost-sensitive convolutional neural networks. CoRR, abs/1412.6857 (2014)
Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 1097–1105. Curran Associates, Inc. (2012)
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M.S., Berg, A.C., Li, F.-F.: Imagenet large scale visual recognition challenge. CoRR, abs/1409.0575 (2014)
Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. CoRR, abs/1409.1556 (2014)
Ziou, D., Tabbone, S., et al.: Edge detection techniques-an overview. Pattern Recogn. Image Anal. C/C Raspoznavaniye Obrazov I Analiz Izobrazhenii 8, 537–559 (1998)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Molek, V. (2018). Image Contours Detection with Deep Features and SVM. In: Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K., Krawczak, M. (eds) Advances in Fuzzy Logic and Technology 2017. EUSFLAT IWIFSGN 2017 2017. Advances in Intelligent Systems and Computing, vol 642. Springer, Cham. https://doi.org/10.1007/978-3-319-66824-6_48
Download citation
DOI: https://doi.org/10.1007/978-3-319-66824-6_48
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66823-9
Online ISBN: 978-3-319-66824-6
eBook Packages: EngineeringEngineering (R0)