A Modified SUSAN Corner Detection Algorithm Based on Adaptive Gradient Threshold for Remote Sensing Image

Author

He, Wei ; Deng, Xiaolian

Author_Institution

Coll. of Sci., China Three Gorges Univ., Yichang, China

Volume

1

fYear

2010

fDate

11-12 Nov. 2010

Firstpage

40

Lastpage

43

Abstract

Remote Sensing image registration plays an important role in image processing. The exact corner detection is vital to image registration. A modified SUSAN corner detection algorithm based on adaptive gradient threshold is presented. Ensuring the gray threshold automatically is the key of the new algorithm. First, the Traditional SUSAN principle and the new algorithm are discussed carefully. Then, testing the two methods that have been mentioned with the software of MATLAB 7.0 using the ASTER remote sensing data. Experimental result indicates that the proposed algorithm is more adaptable and has better applicable value.

Keywords

edge detection; geophysical image processing; gradient methods; image registration; remote sensing; ASTER remote sensing data; MATLAB; adaptive gradient threshold; gray threshold; image processing; modified SUSAN corner detection algorithm; remote sensing image registration; SUSAN algorithm; corner extraction; image processing; self adaptive threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Optoelectronics and Image Processing (ICOIP), 2010 International Conference on

Conference_Location

Haiko

Print_ISBN

978-1-4244-8683-0

Type

conf

DOI

10.1109/ICOIP.2010.97

Filename

5663458