@inproceedings{8a70e01348d04272ba4fb3e62ac191f0,
title = "Refining edge detection within spiral architecture",
abstract = "Detection of edge points of 3-dimensional physical object in a 2-dimensional image is one of the main research areas of computer vision. Object contour detection and object recognition rely heavily on edge detection. The Spiral Architecture, a relatively new image structure, possesses powerful computational features that are pertinent to the vision process. In this paper, we present an edge detection scheme using Gaussian Multi-resolution Theory. The detection algorithm reduces noise and unnecessary details of the image. This algorithm is applied to obtain the edge maps of some well-known images for image processing.",
author = "Xiangjian He and T. Hintz",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; 23rd Australasian Computer Science Conference, ACSC 2000 ; Conference date: 31-01-2000 Through 03-02-2000",
year = "2000",
doi = "10.1109/ACSC.2000.824389",
language = "English",
series = "Proceedings - 23rd Australasian Computer Science Conference, ACSC 2000",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "113--119",
editor = "Jenny Edwards",
booktitle = "Proceedings - 23rd Australasian Computer Science Conference, ACSC 2000",
address = "United States",
}