@inproceedings{03f19bb85c8442d5bbe99344b8d4326c,
title = "Concurrent edge detection with Spiral Architecture on Linux",
abstract = "Edge detection is an essential tool in image analysis. It is a process of identifying significant discontinuities in light intensities in order to form an outline of the object of interest. Spiral Architecture provides powerful computational power as a method of image data representation. Gaussian multi-scale theory was employed as the mathematical model for edge detection. The parallel processing algorithm was implemented in the form of a master-slave model. Spiral Architecture enables an image to be uniformly partitioned and distributed to slave processors after spiral multiplication. Concurrent processing is facilitated by inter-process communication and socket interface programming tools of Linux operating system.",
author = "Qimei Hu and Xiangjian He and Qiang Wu",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; International Conference on Information Technology: Computers and Communications, ITCC 2003 ; Conference date: 28-04-2003 Through 30-04-2003",
year = "2003",
doi = "10.1109/ITCC.2003.1197584",
language = "English",
series = "Proceedings ITCC 2003, International Conference on Information Technology: Computers and Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "524--528",
editor = "Srimani, {Pradip K.} and Emma Regentova and Ray Hashemi and Elaine Lawrence and Mario Cannataro and Amanda Spink and Wolf Bein",
booktitle = "Proceedings - ITCC 2003, International Conference on Information Technology",
address = "United States",
}