Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/7083
Title: Detection and localization of edge contours
Authors: Kasparis, Takis 
Xu, Dongjiang
Keywords: Computer vision
Lighting
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.
URI: http://ktisis.cut.ac.cy/handle/10488/7083
http://172.16.21.12:8080/jspui/handle/10488/7083
http://hdl.handle.net/10488/7083
ISSN: 0277786X
DOI: 10.1117/12.486351
Rights: © SPIE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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