Target detection method based quadtree structure search and Hurst exponent

Author

Wang, Lidi ; Chen, Ping ; Li, Zhengming

Author_Institution

Coll. of Inf. & Electr. Eng., Shenyang Agric. Univ., Shenyang

fYear

2008

fDate

7-9 July 2008

Firstpage

1721

Lastpage

1724

Abstract

After the features of Hurst exponent of the man-made target and natural background images are analyzed, a new algorithm is proposed that uses a quadtree structure search method and Hurst exponent computation. In order to extract the man-made objects from their background, the regions are firstly confirmed that probably including man-made objects by a quadtree structure search method. Then compute the Hurst exponent in the regions obtained above to confirm the region that includes the man-made object. Our method has been tested on images that consist of man-made objects and natural background and shows satisfactory performance.

Keywords

feature extraction; image processing; quadtrees; search problems; Hurst exponent; man-made object extraction; quadtree structure search method; target detection method; Algorithm design and analysis; Educational institutions; Fractals; Image analysis; Image processing; Information analysis; Marine vehicles; Object detection; Pixel; Search methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1723-0

Electronic_ISBN

978-1-4244-1724-7

Type

conf

DOI

10.1109/ICALIP.2008.4590008

Filename

4590008