@inproceedings{b165e47c5ba0441281fcbbc510634c98,
title = "A skeleton algorithm on clusters for image edge detection",
abstract = "Image edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as large delta values in intensities. In this paper, a parallel algorithmic skeleton for edge detection is proposed based on the Spiral Architecture and the Gaussian multi-scale theory. UNIX-based network programming mechanisms in C are used for the implementation on a cluster of Sun-workstations. Our work provides an efficient algorithm for edge detection and is robust to noise.",
author = "Xiangjian He and T. Hintz and Qiang Wu",
note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; 15th International Parallel and Distributed Processing Symposium, IPDPS 2001 ; Conference date: 23-04-2001 Through 27-04-2001",
year = "2001",
doi = "10.1109/IPDPS.2001.925114",
language = "English",
series = "Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1359--1364",
booktitle = "Proceedings - 15th International Parallel and Distributed Processing Symposium, IPDPS 2001",
address = "United States",
}