Title :
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
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;
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
DOI :
10.1109/ISSPIT.2011.6151611
