Title

Detection And Localization Of Edge Contours

Keywords

B-spline; Edge contours; LoG; Zero crossings

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.

Publication Date

12-1-2003

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

5097

Number of Pages

79-89

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.486351

Socpus ID

0345376789 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/0345376789

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