Please use this identifier to cite or link to this item:
Title: Detection and localization of edge contours
Authors: Kasparis, Takis 
Xu, Dongjiang
Keywords: Computer vision
Issue Date: 2003
Publisher: SPIE
Source: Geo-Spatial and Temporal Image and Data Exploitation III, 2003, Orlando, Florida
Abstract: Edge contour extraction plays an important role in computer vision because edge contours are relatively invariant to the changes of illumination conditions, sensor characteristics, etc. In particular, edge contours can be used as matching primitives for correspondence determination, an important step in video geo-registration. In this paper, we present a new approach for edge contour extraction based on a three-step procedure that using a RCBS-based scheme, inherently more accurate results can be produced, even though the edge model used for edges is relatively simple. We also present recursive filters that can efficiently smooth splines by approximating a signal with a complete set of coefficients subject to certain regularisation constraints. We demonstrate our method on both synthetic and real images.
ISSN: 0277786X
DOI: 10.1117/12.486351
Rights: © SPIE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Citations 20

checked on May 20, 2017

Page view(s)

Last Week
Last month
checked on Jul 23, 2017

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.