Rθ-signature: A new signature based on Radon Transform and its application in buildings extraction

Author

Rojbani, Hmida ; Elouedi, Ines ; Hamouda, Atef

Author_Institution

Lab. of Comput. in Program., Algorithmic & Heuristic/Image, Fac. of Sci. of Tunis, Tunis, Tunisia

fYear

2011

fDate

14-17 Dec. 2011

Firstpage

490

Lastpage

495

Abstract

Object recognition has been a topic of research for decades, it operates by making decisions based on the values of several shape properties measured from an image of the object. In this paper, a new exploitation of the Radon Transform (RT) is proposed to extract only one projection according to a single angle. This projection is chosen in way that contains the necessary information to recognize an object (a shape descriptor). This descriptor (called Rθ-signature) provides global information of a binary shape regardless its form. After that, we use this signature in an extraction method of buildings from very high-resolution satellite imagery.

Keywords

Radon transforms; geophysical image processing; geophysical techniques; image resolution; object recognition; Radon transform; Rtheta-signature; building extraction method; decision making; global information analysis; object recognition method; very high-resolution satellite image; Buildings; Feature extraction; Image edge detection; Image segmentation; Satellites; Shape; Transforms; Buildings extraction; Rθ-signature; Radon Transform; Shape descriptor;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Information Technology (ISSPIT), 2011 IEEE International Symposium on

Conference_Location

Bilbao

Print_ISBN

978-1-4673-0752-9

Electronic_ISBN

978-1-4673-0751-2

Type

conf

DOI

10.1109/ISSPIT.2011.6151611

Filename

6151611