Detection and localization of edge contours

Dongjiang Xu; Takis Kasparis

doi:10.1117/12.486351

14 August 2003 Detection and localization of edge contours

Dongjiang Xu, Takis Kasparis

Proceedings Volume 5097, Geo-Spatial and Temporal Image and Data Exploitation III; (2003) https://doi.org/10.1117/12.486351
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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 regularization constraints. We demonstrate our method on both synthetic and real images.

Citation Download Citation

Dongjiang Xu and Takis Kasparis "Detection and localization of edge contours", Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); https://doi.org/10.1117/12.486351

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