@inproceedings{bbca662da39b4c3dbb2f2afab829afa7,
title = "A force field driven SOM for boundary detection",
abstract = "We will introduce a method to extract object boundaries from an image. This method utilizes a deformable curve based on the Self Organizing Map algorithm. The proposed SOM has some unique properties such as batch update and neuron insertion/deletion. These properties can make the SOM converge to object concavities as well as maintain a uniform distribution of neurons along the SOM. In comparison with other traditional active contour methods, this algorithm is less sensitive to initialization more flexible in noisy conditions. It outperforms the Gradient Vector Flow method.",
keywords = "Active Contour, Edge Detection, Self Organizing Map",
author = "Yu He and Songhua Xu and Miranker, {Willard L.}",
year = "2010",
doi = "10.1109/IJCNN.2010.5596310",
language = "English (US)",
isbn = "9781424469178",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010",
address = "United States",
note = "2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 ; Conference date: 18-07-2010 Through 23-07-2010",
}